{"query":"agent tool gating","count":10,"data":[{"score":30,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"opportunity:agent-tool-firewall","kind":"opportunity","title":"Agent Tool Firewall","summary":"A local gateway that scores every proposed tool call and requires confirmation only when risk is high.","body":"## Problem\n\nAutonomous agents can select destructive or irrelevant tools from large catalogs.\n\n## Why Jev\n\nTool execution needs a typed allow/deny/escalate decision with confidence, not generated prose.\n\n## Architecture\n\nAgent proposal → Jev risk and intent questions → deterministic policy thresholds → tool or approval UI.\n\n## Current alternative\n\nPrompt-based guardrails, static allowlists, or an LLM judge on every call.\n\n## Jev advantage\n\nA decision can run inside every agent step while preserving explicit policy code.\n\n## 1–7 day MVP\n\nBuild an MCP proxy for five filesystem and shell tools with a macOS confirmation panel.\n\n## Validation experiment\n\nReplay 200 benign and adversarial tool calls; measure unsafe allows, needless prompts, latency, and cost.\n\n## Unknowns\n\nCalibration under prompt injection and whether confidence remains stable across tool schemas.","status":"Authored Hypothesis","tags":["opportunity","high","indie-fit-10","lens:agent-tool-gating"],"sources":[{"url":"https://docs.typesafe.ai/primitives","label":"Source 1","sourceClass":"official"},{"url":"https://typesafe.ai/blog/introducing-system-one-models-and-jev","label":"Source 2","sourceClass":"official"},{"url":"https://x.com/i/web/status/2099928060644749682","label":"Source 3","sourceClass":"social"}],"canonicalPath":"/ideas/agent-tool-firewall","limitations":["Calibration under prompt injection and whether confidence remains stable across tool schemas.","This is a research hypothesis, not evidence of product demand or Jev performance in this workflow."],"metadata":{"lens":"agent-tool-gating","lensTitle":"Agent tool gating","lensProperty":"Agents need typed permission decisions that the agent itself does not control.","confidence":"HIGH","confidenceReason":"The typed-decision interface directly matches tool gating, though safety still needs deterministic backstops.","indieFit":10,"problem":"Autonomous agents can select destructive or irrelevant tools from large catalogs.","architecture":"Agent proposal → Jev risk and intent questions → deterministic policy thresholds → tool or approval UI.","mvp":"Build an MCP proxy for five filesystem and shell tools with a macOS confirmation panel.","validation":"Replay 200 benign and adversarial tool calls; measure unsafe allows, needless prompts, latency, and cost.","unknowns":"Calibration under prompt injection and whether confidence remains stable across tool schemas."}}},{"score":21,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"opportunity:agent-loop-stopper","kind":"opportunity","title":"Agent Loop Stopper","summary":"A loop controller deciding continue, retry differently, verify, ask, or stop after every step.","body":"## Problem\n\nAgents continue after diminishing returns, repeat failed actions, or stop before verifying outcomes.\n\n## Why Jev\n\nAgent loops require many low-latency state judgments where prose is overhead.\n\n## Architecture\n\nTrace state → progress/failure Scores + next-control Choice → hard iteration budget → agent runtime.\n\n## Current alternative\n\nFixed step limits and LLM self-reflection prompts.\n\n## Jev advantage\n\nMakes control a first-class typed layer and may reduce wasted premium-model calls.\n\n## 1–7 day MVP\n\nMiddleware for one open-source agent with trace replay and stop-decision visualization.\n\n## Validation experiment\n\nRun SWE-style tasks; compare completion, wasted calls, and premature stops.\n\n## Unknowns\n\nReliable progress detection from partial traces.","status":"Authored Hypothesis","tags":["opportunity","high","indie-fit-9","lens:agent-tool-gating"],"sources":[{"url":"https://docs.typesafe.ai/primitives","label":"Source 1","sourceClass":"official"},{"url":"https://typesafe.ai/blog/introducing-system-one-models-and-jev","label":"Source 2","sourceClass":"official"},{"url":"https://x.com/i/web/status/2099928060644749682","label":"Source 3","sourceClass":"social"}],"canonicalPath":"/ideas/agent-loop-stopper","limitations":["Reliable progress detection from partial traces.","This is a research hypothesis, not evidence of product demand or Jev performance in this workflow."],"metadata":{"lens":"agent-tool-gating","lensTitle":"Agent tool gating","lensProperty":"Agents need typed permission decisions that the agent itself does not control.","confidence":"HIGH","confidenceReason":"Directly uses cheap decisions inside agent loops, a central Jev-native design space.","indieFit":9,"problem":"Agents continue after diminishing returns, repeat failed actions, or stop before verifying outcomes.","architecture":"Trace state → progress/failure Scores + next-control Choice → hard iteration budget → agent runtime.","mvp":"Middleware for one open-source agent with trace replay and stop-decision visualization.","validation":"Run SWE-style tasks; compare completion, wasted calls, and premature stops.","unknowns":"Reliable progress detection from partial traces."}}},{"score":21,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"opportunity:multi-agent-vote-calibrator","kind":"opportunity","title":"Multi-Agent Vote Calibrator","summary":"A coordinator deciding when votes agree enough, need another specialist, or require human escalation.","body":"## Problem\n\nAgent ensembles use crude majority voting and ignore uncertainty or correlated errors.\n\n## Why Jev\n\nCoordination consists of repeated confidence and next-participant decisions.\n\n## Architecture\n\nAgent outputs/votes → consensus Scores and next-step Choice → bounded orchestration loop.\n\n## Current alternative\n\nSimple majority, fixed debate rounds, or a final LLM judge.\n\n## Jev advantage\n\nCan allocate extra agents only to ambiguous cases.\n\n## 1–7 day MVP\n\nReproduce the open MAGI concept and add confidence-aware stopping.\n\n## Validation experiment\n\nCompare accuracy and calls on a labeled decision dataset.\n\n## Unknowns\n\nWhether Jev reduces rather than inherits correlated ensemble errors.","status":"Authored Hypothesis","tags":["opportunity","medium","indie-fit-9","lens:agent-tool-gating"],"sources":[{"url":"https://github.com/hide-G/magi-system-on-jev","label":"Source 1","sourceClass":"repository"},{"url":"https://docs.typesafe.ai/primitives","label":"Source 2","sourceClass":"official"},{"url":"https://x.com/i/web/status/2099928060644749682","label":"Source 3","sourceClass":"social"}],"canonicalPath":"/ideas/multi-agent-vote-calibrator","limitations":["Whether Jev reduces rather than inherits correlated ensemble errors.","This is a research hypothesis, not evidence of product demand or Jev performance in this workflow."],"metadata":{"lens":"agent-tool-gating","lensTitle":"Agent tool gating","lensProperty":"Agents need typed permission decisions that the agent itself does not control.","confidence":"MEDIUM","confidenceReason":"There is a concrete open-source inspiration, but ensemble gains need measurement.","indieFit":9,"problem":"Agent ensembles use crude majority voting and ignore uncertainty or correlated errors.","architecture":"Agent outputs/votes → consensus Scores and next-step Choice → bounded orchestration loop.","mvp":"Reproduce the open MAGI concept and add confidence-aware stopping.","validation":"Compare accuracy and calls on a labeled decision dataset.","unknowns":"Whether Jev reduces rather than inherits correlated ensemble errors."}}},{"score":15,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"opportunity:context-window-admission-controller","kind":"opportunity","title":"Context Window Admission Controller","summary":"A component scoring every candidate memory, file, or message before context assembly.","body":"## Problem\n\nAgents overfill context with available material instead of admitting only task-relevant evidence.\n\n## Why Jev\n\nHundreds of inclusion decisions may be needed for a single model request.\n\n## Architecture\n\nTask + candidate metadata/snippets → relevance Scores → diversity and token-budget algorithm → context.\n\n## Current alternative\n\nTop-k embeddings and recency heuristics.\n\n## Jev advantage\n\nAllows semantic admission at a granularity that full LLM ranking makes expensive.\n\n## 1–7 day MVP\n\nPlugin for a coding agent that ranks repository files and explains admitted context.\n\n## Validation experiment\n\nCompare task success and input tokens against embedding-only retrieval.\n\n## Unknowns\n\nWhether independent scoring preserves cross-item diversity.","status":"Authored Hypothesis","tags":["opportunity","high","indie-fit-9","lens:agent-tool-gating"],"sources":[{"url":"https://docs.typesafe.ai/primitives","label":"Source 1","sourceClass":"official"},{"url":"https://typesafe.ai/blog/introducing-system-one-models-and-jev","label":"Source 2","sourceClass":"official"},{"url":"https://x.com/i/web/status/2099928060644749682","label":"Source 3","sourceClass":"social"}],"canonicalPath":"/ideas/context-window-admission-controller","limitations":["Whether independent scoring preserves cross-item diversity.","This is a research hypothesis, not evidence of product demand or Jev performance in this workflow."],"metadata":{"lens":"agent-tool-gating","lensTitle":"Agent tool gating","lensProperty":"Agents need typed permission decisions that the agent itself does not control.","confidence":"HIGH","confidenceReason":"Clear economic leverage from many decisions per expensive request.","indieFit":9,"problem":"Agents overfill context with available material instead of admitting only task-relevant evidence.","architecture":"Task + candidate metadata/snippets → relevance Scores → diversity and token-budget algorithm → context.","mvp":"Plugin for a coding agent that ranks repository files and explains admitted context.","validation":"Compare task success and input tokens against embedding-only retrieval.","unknowns":"Whether independent scoring preserves cross-item diversity."}}},{"score":15,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"opportunity:mcp-capability-router","kind":"opportunity","title":"MCP Capability Router","summary":"A proxy exposing only the small capability subset relevant to the current step.","body":"## Problem\n\nLarge MCP tool sets overload model context and increase incorrect tool selection.\n\n## Why Jev\n\nSelecting capability groups is a bounded classification problem repeated at every turn.\n\n## Architecture\n\nUser intent + agent state → capability Choices → filtered MCP manifest → downstream model.\n\n## Current alternative\n\nExpose all tools, manually configure servers, or ask an LLM to choose.\n\n## Jev advantage\n\nReduces schemas in context and can run before each agent turn.\n\n## 1–7 day MVP\n\nProxy three MCP servers and visualize selected/hidden tools.\n\n## Validation experiment\n\nMeasure token use and tool-selection accuracy across 100 tasks.\n\n## Unknowns\n\nCost of false exclusion and whether confidence is sufficient for fallback.","status":"Authored Hypothesis","tags":["opportunity","high","indie-fit-10","lens:agent-tool-gating"],"sources":[{"url":"https://docs.typesafe.ai/primitives","label":"Source 1","sourceClass":"official"},{"url":"https://typesafe.ai/blog/introducing-system-one-models-and-jev","label":"Source 2","sourceClass":"official"},{"url":"https://x.com/i/web/status/2099928060644749682","label":"Source 3","sourceClass":"social"}],"canonicalPath":"/ideas/mcp-capability-router","limitations":["Cost of false exclusion and whether confidence is sufficient for fallback.","This is a research hypothesis, not evidence of product demand or Jev performance in this workflow."],"metadata":{"lens":"agent-tool-gating","lensTitle":"Agent tool gating","lensProperty":"Agents need typed permission decisions that the agent itself does not control.","confidence":"HIGH","confidenceReason":"Concrete developer-tool problem with an observable, typed outcome.","indieFit":10,"problem":"Large MCP tool sets overload model context and increase incorrect tool selection.","architecture":"User intent + agent state → capability Choices → filtered MCP manifest → downstream model.","mvp":"Proxy three MCP servers and visualize selected/hidden tools.","validation":"Measure token use and tool-selection accuracy across 100 tasks.","unknowns":"Cost of false exclusion and whether confidence is sufficient for fallback."}}},{"score":14,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"project:typesafe-agent-skills","kind":"project","title":"TypeSafe Agent Skills","summary":"TypeSafe's own published Claude Code plugin and skills.sh package that teaches coding agents to design and wire up Jev workflows.","body":"## Builder\n\nTypeSafe (vendor)\n\n## Jev's role\n\nThe skill's entire purpose is composing typed Jev judgments (Choice, Score, Noul) into agent-written code.\n\n## Architecture\n\nAgent skill install (plugin marketplace or skills.sh) → SKILL.md instructions → agent composes TypeSafe API calls in the user's codebase.\n\n## Why it matters\n\nVendor-authored, so it demonstrates TypeSafe's own recommended integration pattern rather than independent adoption evidence.","status":"Observed","tags":["project","actually-built","The skill's entire purpose is composing typed Jev judgments (Choice, Score, Noul) into agent-written code."],"sources":[{"url":"https://github.com/typesafe-ai/skills","label":"Source 1","sourceClass":"repository"}],"canonicalPath":"/projects/typesafe-agent-skills","limitations":["A located repository or demonstration does not establish production reliability or independent validation."],"metadata":{"builder":"TypeSafe (vendor)","projectStatus":"ACTUALLY BUILT","architecture":"Agent skill install (plugin marketplace or skills.sh) → SKILL.md instructions → agent composes TypeSafe API calls in the user's codebase.","repositoryOrDemo":"https://github.com/typesafe-ai/skills"}}},{"score":13,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"project:typesafe-mcp","kind":"project","title":"typesafe-mcp","summary":"An MCP server exposing TypeSafe evaluation to coding agents.","body":"## Builder\n\nitsmostafa\n\n## Jev's role\n\nMachine-readable decisions and probabilities available as agent tools.\n\n## Architecture\n\nMCP client → server tool → TypeSafe API → typed response.\n\n## Why it matters\n\nThe probability-bearing result can be preserved through agent infrastructure instead of flattened to prose.","status":"Observed","tags":["project","actually-built","Machine-readable decisions and probabilities available as agent tools."],"sources":[{"url":"https://github.com/itsmostafa/typesafe-mcp","label":"Source 1","sourceClass":"repository"}],"canonicalPath":"/projects/typesafe-mcp","limitations":["A located repository or demonstration does not establish production reliability or independent validation."],"metadata":{"builder":"itsmostafa","projectStatus":"ACTUALLY BUILT","architecture":"MCP client → server tool → TypeSafe API → typed response.","repositoryOrDemo":"https://github.com/itsmostafa/typesafe-mcp"}}},{"score":12,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"project:progressgate","kind":"project","title":"ProgressGate","summary":"An npm package that detects semantic stagnation in agent tool-calling loops, published with tests, a quickstart, and a live demo build.","body":"## Builder\n\nAshutoshVJTI\n\n## Jev's role\n\nOne Jev systemOne call per check returns six atomic signals (assumption contradicted, strategy novelty, material progress, and others); Jev never executes or blocks a tool call itself.\n\n## Architecture\n\nAgent trajectory → Jev semantic signals → deterministic hysteresis policy in application code → CONTINUE/WARN/REPLAN/HALT decision.\n\n## Why it matters\n\nKeeping the halt decision in a deterministic policy layer, with a fail-open default on Jev/network errors, means an API outage cannot itself look like agent stagnation.","status":"Observed","tags":["project","actually-built","One Jev systemOne call per check returns six atomic signals (assumption contradicted, strategy novelty, material progress, and others); Jev never executes or blocks a tool call itself."],"sources":[{"url":"https://github.com/AshutoshVJTI/progressgate","label":"Source 1","sourceClass":"repository"}],"canonicalPath":"/projects/progressgate","limitations":["A located repository or demonstration does not establish production reliability or independent validation."],"metadata":{"builder":"AshutoshVJTI","projectStatus":"ACTUALLY BUILT","architecture":"Agent trajectory → Jev semantic signals → deterministic hysteresis policy in application code → CONTINUE/WARN/REPLAN/HALT decision.","repositoryOrDemo":"https://github.com/AshutoshVJTI/progressgate"}}},{"score":10,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"project:confidence-gated-agent-control-loops","kind":"project","title":"Confidence-gated agent control loops","summary":"Use Jev repeatedly to route, verify, and decide whether an agent should continue or escalate.","body":"## Builder\n\nDeveloper discussion\n\n## Jev's role\n\nLow-latency control decisions between generative steps.\n\n## Architecture\n\nAgent state → route/verify/continue decisions → deterministic controller → next step.\n\n## Why it matters\n\nThe potential is fewer unnecessary generative calls, not simply replacing one model endpoint.","status":"Authored Hypothesis","tags":["project","proposed","Low-latency control decisions between generative steps."],"sources":[{"url":"https://x.com/i/web/status/2099928060644749682","label":"Source 1","sourceClass":"social"}],"canonicalPath":"/projects/confidence-gated-agent-control-loops","limitations":["A located repository or demonstration does not establish production reliability or independent validation."],"metadata":{"builder":"Developer discussion","projectStatus":"PROPOSED","architecture":"Agent state → route/verify/continue decisions → deterministic controller → next step.","repositoryOrDemo":null}}},{"score":8,"record":{"generatedAt":"2026-09-19T13:28:59.577Z","lastVerifiedAt":"2026-09-19T13:28:59.577Z","relatedIds":[],"id":"evidence:7","kind":"evidence","title":"Technical Explanation, Architecture, Automation source — relevance 76","summary":"A cached X post classified as Technical Explanation, Architecture, Automation. Themes: typed, confidence, workflow, agent, system one.","body":"## Why it ranked\n\n- names Jev with distinctive model vocabulary\n- technical signals: typed, confidence, workflow, agent\n- contains an external source\n\n## Heuristic scores\n\n- Relevance: 76\n- Technical depth: 74\n- Build potential: 40\n\nThis record cites the post rather than reproducing it. Follow the source link to read it.","status":"Source Evidence","tags":["evidence","technical_explanation","architecture","automation","typed","confidence","workflow","agent","system one"],"sources":[{"url":"https://x.com/i/web/status/2100059711210954797","label":"Source 1","sourceClass":"social"}],"canonicalPath":"/evidence","limitations":["A social post is a source artifact, not independent verification of every statement it contains.","Scores are transparent research heuristics, not objective measurements."],"metadata":{"relevance":76,"technicalDepth":74,"buildPotential":40,"categories":["TECHNICAL_EXPLANATION","ARCHITECTURE","AUTOMATION"],"themes":["typed","confidence","workflow","agent","system one"]}}}]}