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get_commit_timeline

Read-onlyIdempotent

Fetch commit history from local repositories or public GitHub URLs, applying date and author filters to reconstruct the development timeline.

Instructions

Fetches commit timeline from a local repo or public GitHub URL via DevMemory(데브메모리).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNo시작 날짜 (예: 2025-07-01, 7 days ago)
untilNo종료 날짜
repoUrlNoPublic GitHub 저장소 URL (예: https://github.com/facebook/react). AWS/PlayMCP 배포 시 사용. 로그인 불필요.
maxCountNo최대 커밋 수 (기본 50)
repoPathNo로컬 Git 저장소 경로. Cursor 로컬 개발 시 사용.
authorNameNoauthor name 필터
authorEmailNoauthor email 필터
Behavior4/5

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

Annotations already cover read-only and idempotent behavior, so the description does not need to restate those. It adds meaningful context by mentioning 'local repo or public GitHub URL via DevMemory', clarifying the two distinct data sources and the integration mechanism. This goes beyond the structured annotations and helps set expectations about tool scope.

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, focused sentence that front-loads the verb and resource, then adds key context in minimal words. There is no redundancy, and every piece of information earns its place. It is easy for an agent to parse and act on.

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?

For a read-only fetch tool with no required parameters and a fully documented schema, the description provides adequate situational context (local vs remote sources) and does not need to detail return formats, as the output is self-explanatory as a commit timeline. The lack of output schema is compensated by the simplicity of the tool's purpose. The sibling list offers additional context, but the description is sufficient on its own.

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%, meaning all 7 parameters have detailed descriptions including examples and usage notes. The main description adds no additional parameter-level semantics; it merely refers to 'local repo' and 'public GitHub URL', which is already implied by repoPath and repoUrl parameters. The schema does the heavy lifting, so the baseline of 3 is appropriate.

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 fetches 'commit timeline', specifying both local and public GitHub URL sources. This differentiates it from siblings like summarize_commit or explain_code_changes, which analyze rather than retrieve. The action verb 'Fetches' and resource 'commit timeline' are precise and unambiguous.

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 when to use the tool (for fetching commit history from local or public GitHub) but does not explicitly contrast it with alternatives. Sibling tools exist for different tasks (e.g., summarize_commit for summarization), yet no direct 'use this instead of...' guidance is given. The schema descriptions provide some contextual hints, but the main description lacks explicit exclusions.

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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