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agent-bridge-mcp

by yukinuma-cpu

agent-bridge-mcp

MCP 서버 및 HTTP 게이트웨이로, Claude Code, Codex, Antigravity (agy) CLI 세션에 코딩 작업을 전달하고, 해당 세션을 추적하며, 선택적으로 실제 저장소에 대해 구현 → 검토 → 검증 루프를 실행합니다.

상태: 실험적. 이 프로젝트는 개인 오케스트레이션 도구로 시작되었으며, 세션 라우팅 및 증거 게이트 부분이 다른 사람들에게 유용하기를 바라며 공개되었습니다. 인터페이스는 변경될 수 있습니다.

기능

  • 세션 라우팅 — 프로젝트 및 주제별로 Claude Code / Codex 세션을 시작하고 재개하여 후속 프롬프트가 동일한 컨텍스트에 도달하도록 합니다.

  • 작업 추적 — 모든 전달은 상태, 출력 및 종료 코드가 있는 작업이 됩니다.

  • 증거 게이트 — 저장소에서 지정한 테스트 명령을 실행하고 변경 사항이 실제로 통과 테스트로 뒷받침되는지 여부를 수락하기 전에 보고합니다.

  • 검토 루프 — 구현 에이전트와 검토 에이전트를 차례로 전달하며, 수정 횟수 제한까지 증거 검사에 따라 게이트됩니다.

  • 게이트웨이 — HTTP + WebSocket을 통해 동일한 기능을 제공하므로 원격 클라이언트(예: 휴대폰)가 작업을 전달하고 출력을 스트리밍할 수 있습니다.

Related MCP server: agent-intern

설치

npm install -g @yukinuma/agent-bridge-mcp

Node.js 20+가 필요하며, 사용하려는 에이전트 CLI(claude, codex, 및/또는 agy)가 이미 설치 및 인증되어 있어야 합니다.

antigravity 에이전트에 대한 참고 사항

agy는 내부 언어 서버를 실행하며 실제 터미널을 필요로 합니다. 일반 파이프에서 시작하면 응답하기 전에 종료되어 호출자 측에서는 중단과 구분할 수 없습니다. 따라서 Windows에서는 이 어댑터가 winpty(Git for Windows에 포함됨) 아래에서 실행하고 호출 기간 동안 stdin을 열어 둡니다.

알아둘 만한 두 가지 결과:

  • winpty는 종료 시 자체 어설션에서 중단되므로 종료 코드가 agy가 수행한 작업을 반영하지 않습니다. pty를 통해 실행할 때 어댑터는 종료 코드가 아닌 응답이 돌아왔는지 여부로 성공을 판단하고 캡처된 출력에서 어설션 텍스트를 필터링합니다.

  • 타임아웃 시 프로세스 트리는 PID로 종료됩니다. 이미지 이름으로 종료하면 다른 곳에서 열려 있는 대화형 agy까지 종료되므로 의도적으로 수행되지 않습니다.

두 바이너리 중 하나가 비표준 위치에 있는 경우 WINPTY_PATH 또는 AGY_PATH를 설정하세요. 비Windows 플랫폼에서는 agy가 직접 실행되며, 이는 테스트되지 않았습니다.

MCP 서버로 사용

{
  "mcpServers": {
    "agent-bridge": {
      "command": "agent-bridge-mcp",
      "env": {
        "AGENT_BRIDGE_WORKSPACE": "/path/to/your/projects"
      }
    }
  }
}

노출된 도구: agent_send, agent_status, agent_sessions, agent_cancel.

게이트웨이로 사용

export ABC_AUTH_TOKEN="$(openssl rand -hex 24)"
export AGENT_BRIDGE_WORKSPACE="/path/to/your/projects"
agent-bridge-gateway

게이트웨이는 ABC_AUTH_TOKEN 없이 시작을 거부합니다. 기본 토큰은 없습니다.

변수

기본값

의미

ABC_AUTH_TOKEN

(필수)

REST 및 WebSocket 인증을 위한 공유 비밀

PORT

3030

수신 포트

AGENT_BRIDGE_HOST

127.0.0.1

바인드 주소

AGENT_BRIDGE_WORKSPACE

process.cwd()

project 이름이 확인되는 기준 디렉터리

AGENT_BRIDGE_ROOT

process.cwd()

세션 및 작업 상태 파일이 기록되는 위치

AGENT_BRIDGE_ALLOWED_ORIGINS

localhost만

쉼표로 구분된 CORS 허용 목록

엔드포인트

메서드

경로

설명

GET

/api/status

게이트웨이 및 실행 중인 작업 요약

GET

/api/projects

워크스페이스 아래에서 찾은 디렉터리

GET

/api/sessions

세션 목록

GET

/api/tasks, /api/tasks/:id

작업 목록 / 검사

POST

/api/dispatch

에이전트에 작업 전달

POST

/api/tasks/:id/cancel

실행 중인 작업 취소

POST

/api/evidence

증거 게이트 실행

POST

/api/git/commit-push

저장소 커밋 및 푸시

POST

/api/review-loop

구현/검토 루프 실행

WS

/ws?token=…

작업 출력 및 수명 주기 이벤트

/api/dispatch, /api/git/commit-push, 및 /api/review-loop는 명시적 대상을 필요로 합니다 — cwd 또는 워크스페이스 내에서 확인되는 project입니다. 기본 디렉터리로 대체되지 않고 400을 반환하며, 워크스페이스를 벗어나는 project 값은 거부됩니다.

보안

이 서비스는 안전 프롬프트가 꺼진 상태로 코딩 에이전트를 실행합니다. 이것이 무인 전달이 작동하는 이유입니다 — 승인을 요청하기 위해 멈추는 에이전트는 키보드 앞에 아무도 없을 때 단순히 중단됩니다 — 하지만 이는 API에 접근할 수 있는 사람이 게이트웨이를 실행하는 사용자로서 임의의 코드를 실행할 수 있음을 의미합니다.

구체적으로, CLI 어댑터는 다음을 전달합니다:

에이전트

플래그

옵트아웃

Codex

--dangerously-bypass-approvals-and-sandbox

bypassApprovals: false

Antigravity

--dangerously-skip-permissions

bypassPermissions: false

둘 다 기본적으로 우회합니다. 옵트아웃은 어댑터 수준 옵션입니다. 아직 MCP 도구나 REST API를 통해 연결되지 않았으므로 HTTP를 통한 우회는 현재 무조건적입니다.

이것을 권한 있는 로컬 데몬으로 취급하세요:

  • 기본적으로 127.0.0.1에 바인딩됩니다. AGENT_BRIDGE_HOST를 다른 값으로 설정하면 작업 전달, 샌드박스 없는 코드 실행 및 git 푸시가 네트워크에 노출됩니다.

  • 인증 토큰은 단일 공유 비밀로, Bearer 헤더 또는 token 쿼리 매개변수로 전송됩니다. 쿼리 매개변수는 로그에 남습니다 — 가능하면 헤더를 선호하세요. 해당 토큰 하나가 손상되면 셸을 넘겨주는 것과 같습니다.

  • 워크스페이스 경로 확인 외에는 프로젝트 간 샌드박싱이 없습니다.

  • /api/git/commit-push는 대상 저장소가 구성한 원격 저장소로 푸시합니다. 푸시 전에 다시 묻지 않습니다.

이것을 신뢰할 수 없는 네트워크에 노출하지 말고, 작업이 실제로 필요로 하는 것보다 더 많은 액세스 권한을 가진 사용자로 실행하지 마세요.

개발

npm install
npm run typecheck
npm run build

라이선스

MIT

Available Tools

6 tools
agent_cancelC

Cancel a currently running agent task.

ParametersJSON Schema
NameRequiredDescriptionDefault
taskIdYesTask ID to cancel

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It doesn't explain whether cancellation is immediate or graceful, if it can be undone, what happens to results, or any side effects. This is a significant gap for a cancellation operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that directly states the action. It is appropriately sized but could be slightly more informative without being verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's destructive nature, lack of annotations, and no output schema, the description should provide more detail on what happens after cancellation (e.g., state changes, resource cleanup, return codes). It is incomplete for a safe agent decision.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the schema already describes taskId as 'Task ID to cancel'. The description adds no extra meaning beyond this, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Cancel' and the resource 'currently running agent task', which differentiates it from siblings like agent_send or agent_status. However, it doesn't explicitly mention that the task must be running versus already completed, which is a minor gap.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to cancel a task vs. waiting for completion, or when alternatives like agent_review_loop might be more appropriate. The description gives no context on prerequisites or consequences.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

agent_evidence_checkA

Run Evidence Gate validation: inspect git status/diff and execute test/typecheck/lint commands to produce empirical evidence report.

ParametersJSON Schema
NameRequiredDescriptionDefault
cwdNoTarget workspace directory (default: current directory)
timeoutMsNoTimeout per test command in ms (default: 60000ms)
testCommandsNoList of test commands to run (e.g. ['npm test', 'npx tsc --noEmit'])

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It explains the tool runs local commands (git, test, lint) but doesn't disclose potential side effects (e.g., modifying git state, consuming user resources, or requiring network access). The description is clear on intended behavior but lacks depth on risks or limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that effectively conveys the tool's purpose and primary actions. It is appropriately front-loaded and contains no unnecessary words. However, given 3 parameters and no output schema, it could have included more context without being verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is moderately complex (runs multiple commands, outputs a report) with no output schema. The description gives the big picture but lacks detail on what the report contains, error handling, or how timeoutMs affects operations. It's minimally complete for a 3-param tool with no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds no additional parameter meaning beyond the schema; it just summarizes the tool's action. The schema already adequately describes the three parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb (Run, inspect, execute) and identifies the resource (Evidence Gate validation) with concrete actions: git status/diff and test/typecheck/lint commands. It clearly distinguishes from sibling tools which are about sending, canceling, status, sessions, and review loops.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this is used for evidence gathering before code changes, but provides no explicit guidance on when to use it vs alternatives. It doesn't mention prerequisites (e.g., the workspace having git and test commands) or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

agent_review_loopA

Execute full autonomous development loop: Codex implements -> Evidence Gate validates -> Claude reviews -> Auto-revision (up to max 2 revisions limit).

ParametersJSON Schema
NameRequiredDescriptionDefault
cwdNoTarget workspace directory (default: current directory)
topicNoTopic or feature name (e.g. 'auth-fix')
engineNoEngine to use: 'cli' (default) or 'sdk'
promptYesThe feature specification or bugfix task description
projectNoDirectory name of the project inside the workspace
timeoutMsNoTimeout per turn in ms (default: 180000ms)
maxRevisionsNoMaximum auto-revision retries (default: 2)
testCommandsNoTest commands for Evidence Gate (e.g. ['npm test'])

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly describes the multi-step pipeline (Codex implements -> Evidence Gate validates -> Claude reviews -> auto-revision) and the auto-revision limit of 2. This gives the agent a good understanding of what the tool does and its boundaries, though it does not discuss side effects or what gets modified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the key action ('Execute full autonomous development loop') and then lists the sequential steps. Every element earns its place, no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (8 parameters, multi-step process, no output schema), the description is reasonably complete. It explains the loop stages and constraints (max 2 revisions). However, it omits details like what 'Evidence Gate validates' entails or what the output/return value looks like, which would be helpful for an agent to determine success or failure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each parameter has a description in the schema. The tool description itself does not add parameter-level detail, but given full coverage, a baseline of 3 is appropriate. An extra point is earned because the description effectively frames the purpose of the 'prompt' and 'maxRevisions' parameters in the context of the loop, adding semantic meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verbs ('executes', 'validates', 'reviews') and clearly identifies the resource (a full development loop with multiple stages). It distinguishes itself from sibling tools like 'agent_send' or 'agent_evidence_check' by describing a multi-step autonomous process, not a single action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (autonomous development with revisions) and mentions a max revision limit, but does not explicitly say when to use this tool versus alternatives like 'agent_send' or 'agent_evidence_check'. There is no guidance on prerequisites or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

agent_sendB

Send an instruction to Claude Code or Codex CLI/SDK. Executes asynchronously in background and returns task_id.

ParametersJSON Schema
NameRequiredDescriptionDefault
cwdNoWorking directory for execution (default: current directory)
agentYesTarget agent: 'claude', 'codex', or 'antigravity' (agy CLI)
modelNoSpecific model name (e.g. 'sonnet', 'opus' for Claude; 'o3' for Codex)
topicNoTopic or feature name (e.g. 'presence', 'auth')
engineNoExecution engine: 'cli' (default) or 'sdk'
promptYesInstruction or prompt text for the agent
projectNoDirectory name of the project inside the workspace
taskTypeNoRole or nature of task
sessionIdNoSpecific internal session ID to resume
timeoutMsNoExecution timeout in milliseconds (default: 180000ms / 3min)
forceNewSessionNoSet true to force create a new session instead of reusing

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It states that execution is asynchronous and returns a task_id, which is useful. However, it does not disclose what happens on failure, whether the task can be cancelled, rate limits, or authentication needs. The description is adequate but not comprehensive for a tool with 11 parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is concise and directly states the purpose and key behavior. It is front-loaded and efficient. However, it could include a brief example or usage note without becoming too long.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (11 parameters, 2 required, no output schema), the description is somewhat minimal. It does not explain return values (though no output schema exists), error handling, or how to poll for results (e.g., using agent_status). The description is functional but leaves gaps for an agent to fill from context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema already documents all parameters. The description does not add any additional meaning beyond what the schema provides. Baseline 3 is appropriate; the description adds no value for parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Send an instruction'), the target ('Claude Code or Codex CLI/SDK'), and the key behavior ('asynchronously in background'). It returns a task_id, which distinguishes it from synchronous tools. However, it could be slightly more specific about the 'antigravity' agent and the sibling tools, but overall it's clear and informative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this is for sending instructions to agents, but it does not provide guidance on when to use this tool versus alternatives like 'agent_review_loop' or 'agent_evidence_check'. No explicit when-not-to-use or alternative suggestions are given, leaving the agent to infer from sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

agent_sessionsC

List active or archived sessions tracked by Agent Bridge.

ParametersJSON Schema
NameRequiredDescriptionDefault
agentNoFilter by agent type
topicNoFilter by topic
statusNoFilter by status
projectNoFilter by project

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavioral traits. It only states that the tool lists sessions (a read operation), but fails to mention whether results are paginated, what permissions are needed, any rate limits, or what happens with no filters. For a listing tool with no annotation safety hints, this omission is significant.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence of six words. It is efficient and immediately communicates the tool's purpose. However, it is slightly underspecified, trading completeness for brevity. Still, it earns its place without filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the four optional parameters and no output schema or annotations, the description is insufficient. It does not explain how filters interact, what the response structure looks like, or how to distinguish this tool from siblings. The agent cannot fully judge when or how to invoke the tool based on this description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% because all four parameters have descriptions in the JSON schema. The description adds no additional semantics beyond the schema, merely echoing the status filter. Baseline 3 is appropriate; no extra value is provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists sessions tracked by Agent Bridge, with an explicit mention of filtering by status (active/archived). However, it does not differentiate from the sibling tool agent_status, which might also provide session-level status information. The purpose is clear but lacks unique positioning relative to similar tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like agent_status or agent_send. It does not mention prerequisites, exclusions, or typical use cases. The agent is left to infer usage solely from the vague action description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

agent_statusB

Check the status, output, or error of a background task dispatched via agent_send.

ParametersJSON Schema
NameRequiredDescriptionDefault
taskIdYesTask ID returned from agent_send (e.g. 'task_claude_12345')

TDQS

B3.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavior. It only says 'Check,' which hints at a read-only operation, but it does not confirm idempotency, authorization requirements, or whether the tool can be called multiple times safely. The lack of behavioral details is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that immediately states the tool's purpose. No extraneous information is present, making it efficient. However, it could include brief behavioral notes without bloating the text, keeping it from a perfect score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one parameter, no output schema, no annotations), the description covers the basic purpose and parameter context. However, it lacks any indication of what the tool returns (e.g., format of status/output/error), which would help an agent invoke it correctly without relying on trial and error.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%—the taskId parameter already includes a clear description (e.g., 'Task ID returned from agent_send'). The tool description adds no new semantic value beyond what the schema provides, hitting the baseline score for high coverage without additional benefit.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the verb 'Check' and the resource 'status, output, or error of a background task dispatched via agent_send.' This clearly defines the tool's function and differentiates it from siblings like agent_send (dispatch), agent_cancel, and agent_evidence_check, which serve distinct roles.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage after agent_send by referencing 'task dispatched via agent_send,' but it does not explicitly state when to use this tool versus alternatives (e.g., 'use after sending a task to poll for completion'). No guidance on when not to use it is provided, leaving room for ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 6 tool updatesv0.2.0
    • First observedagent_cancel
    • First observedagent_evidence_check
    • First observedagent_review_loop
    • First observedagent_send
    • First observedagent_sessions
    • First observedagent_status

TDQS

A3.6/5.0

Scored across 6 tools

Disambiguation4/5

Each tool targets a distinct action: send, cancel, check evidence, check status, list sessions, and run a full review loop. The only minor overlap is between agent_send and agent_review_loop, as both can dispatch work, but the latter is a higher-level workflow clearly distinguished by name and description.

Naming Consistency5/5

All tool names consistently follow the agent_verb or agent_verb_noun pattern (e.g., agent_send, agent_evidence_check, agent_review_loop). The naming is predictable and readable across the set.

Tool Count5/5

With 6 tools, the surface is appropriately scoped for an agent orchestration and review bridge. Each tool provides a distinct function without overwhelming users or leaving the set feeling thin.

Completeness4/5

The set covers the core workflow: dispatch, status, cancel, and an integrated review loop. Evidence check and session listing add useful supporting operations. A minor gap is the lack of an explicit tool to modify or configure review loop parameters, but the overall surface is solid.

Maintenance

ActivitySlowing
ResponsivenessNo issues

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