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gitlog-mcp

gitlog-mcp

by ManiaSacha
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

search_commits

Search git commits by message, author, or date to quickly locate specific changes in your project history.

Instructions

Find commits by message, author, or date.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "search_commits"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

C2.7/5.0
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 states it can search by message, author, or date, but does not clarify how the 'query' parameter is interpreted (e.g., does it accept regex, multiple terms, or date formats?). It also does not mention potential side effects (none expected) or pagination behavior.

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 short sentence, which is concise. However, it is too brief to cover the necessary details for a tool with no annotations and low schema coverage, making it feel underspecified rather than optimally concise.

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 has one required parameter with no schema description, no annotations, and an output schema (details not shown), the description is incomplete. It does not explain the expected format of the 'query' parameter, the return structure, or any limitations. With sibling tools like 'analyze_commit' and 'blame_file', more context is needed to differentiate usage.

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%, so the description must compensate. It mentions that commits can be found by message, author, or date, but does not explain how to encode these in the single 'query' parameter (e.g., using prefixes like 'author:'). This leaves the agent guessing how to use the parameter effectively.

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 finds commits and specifies the search dimensions (message, author, or date). It distinguishes itself from sibling tools like 'changelog' or 'analyze_commit' by indicating a general search capability, though it could be more explicit about the scope.

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 siblings like 'analyze_commit' (for detailed analysis) or 'changelog' (for release notes). It does not mention limitations, such as whether the search is across a repository or workspace, or what happens if no results are found.

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

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