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4hglee-ops

Gyuniverse GitHub Projects MCP

by 4hglee-ops

list_github_project_write_audit_log

Read-onlyIdempotent

List recent GitHub Projects write audit records to review actor identity, metadata, and verification results for governance.

Instructions

List recent bounded GitHub Project write audit records. Production uses the configured durable M10 governance store; local development may remain process-local. Records contain metadata, actor identity, and verification results, not tokens or raw mutation payloads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
itemIdNo
projectIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnly/idempotent/non-destructive/closed-world, so the bar is lower, yet the description still adds real value: the production-vs-local persistence caveat warns that records may be process-local and thus incomplete, and it discloses what records do and do not contain (metadata, actor, verification results; no tokens or raw payloads). Only the 'bounded' size and ordering semantics are left vague.

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?

Three tight sentences, front-loaded with purpose and then layering storage and content caveats. Slight cost from opaque jargon like 'M10 governance store', but nothing is redundant.

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?

With no output schema, the description usefully sketches the record shape, but it omits filtering behavior, default/max limit behavior, and ordering, which matter for a list tool with an optional itemId filter. Sufficient to understand intent, not quite sufficient to call it confidently.

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

Parameters2/5

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

Schema description coverage is 0% across three parameters, so the description must carry the meaning and largely fails: 'bounded' hints at limit, and 'GitHub Project' weakly implies projectId, but itemId filtering is never mentioned and neither is the default of 50 or max of 200. This is the definition's principal gap.

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?

States a specific verb and resource ('List ... GitHub Project write audit records') and scopes it with 'recent bounded'. No sibling covers audit records, so an agent can distinguish this from the list_/get_/analyze_ project tools immediately.

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?

Usage is implied – an audit-trail reader for project mutations – but there is no explicit statement of when to reach for this versus the state/checkpoint or changes tools, and no exclusions. Adequate but leaves the routing decision to inference.

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