Skip to main content
Glama

actiond_run_report

Read-onlyIdempotent

Generate a structured goal run report for a repository, summarizing commits, CI job verdicts, task handoff status, and recovery points with verifier provenance.

Instructions

Generate a goal run report for a repository: one structured JSON that reconstructs what a run changed and how well it was verified, without writing any new state. Aggregates git log, ActionD CI/CD job verdicts, and — when a task management system report is available — the task's handoff status into sections that answer: what changed (commits), why (declared task intent), did it work (per-job verdicts pass/fail/unknown), how trustworthy the results are (verification depth and verifier provenance), can someone else continue the work, and can it be rolled back (recovery points with evidence levels). Anything not knowable is reported as an explicit "unknown" — never silently converted to pass/fail — and a Limitations list states what the report cannot yet guarantee. Optional path (defaults to the current directory), commit (focus the report on one commit), task_id/project_id (look up the task report), and limit (commits to include, default 10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoRepository path (defaults to the current directory)
limitNoNumber of git log commits to include (default 10)
commitNoFocus the report on a specific commit (default: the most recent N commits)
task_idNoTask ID; when provided, the report also looks up the task report and its handoff status
project_idNoProject ID in the task management system (defaults to the repository name)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed5 schema fields changedv0.1.1
    • changedInput schema / properties / commit / description
      Previous value: -"聚焦某个 commit(缺省为最近 N 个提交)"New value: +"Focus the report on a specific commit (default: the most recent N commits)"
    • changedInput schema / properties / limit / description
      Previous value: -"git log 条数(默认 10)"New value: +"Number of git log commits to include (default 10)"
    • changedInput schema / properties / path / description
      Previous value: -"仓库路径(默认当前目录)"New value: +"Repository path (defaults to the current directory)"
    • changedInput schema / properties / project_id / description
      Previous value: -"RMS project id(默认取仓库名)"New value: +"Project ID in the task management system (defaults to the repository name)"
    • changedInput schema / properties / task_id / description
      Previous value: -"RMS task id;提供后报告会查询任务报告与交接状态"New value: +"Task ID; when provided, the report also looks up the task report and its handoff status"
  2. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

The annotations already mark it read-only and idempotent, and the description reinforces 'without writing any new state.' It also promises explicit 'unknown' values, which prevents agents from assuming false confidence. It does not mention potential error conditions or external dependencies, but the main behavioral guarantees are covered.

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

Conciseness3/5

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

The description is front-loaded with the main purpose but becomes a long run-on sentence that enumerates report sections and repeats the 'unknown' behavior. It is understandable but not tightly edited; a more compact structure would improve scannability.

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?

With no output schema, the description compensates by describing the JSON report's conceptual sections (what changed, why, did it work, trustworthiness, continuation, rollback) and the explicit handling of unknowns. It does not specify exact field names or error behavior, but the overall output contract is clear enough for an agent.

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 each parameter has a meaningful description. The prose repeats those meanings without adding significant constraints or interactions beyond what the schema already states. No additional parameter semantics are needed, but none are provided 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 clearly states the tool's purpose: generate a goal run report as one structured JSON that reconstructs changes, verification, and rollback status. It explicitly distinguishes the tool from write operations by saying it writes no new state. The resource and verb are unambiguous.

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

Usage Guidelines4/5

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

The description explains that it aggregates git log, CI/CD job verdicts, and task handoff status, and that task_id triggers a task report lookup. It does not explicitly contrast this with sibling tools like actiond_status or actiond_diagnose, but the aggregation role and conditional task lookup provide practical usage guidance.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/JoeGlenn1213/ActionD'

If you have feedback or need assistance with the MCP directory API, please join our Discord server