brain_from_git

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

No annotations exist, so description must disclose behavioral traits. It mentions parsing commits and inferring lessons, but fails to specify if it's read-only or modifies the brain, effects of multiple runs, or required permissions. For a bootstrapping tool, more detail is needed.

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

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

Three sentences, no fluff. First sentence states core purpose, second adds value proposition, third mentions configurable options. Front-loaded and efficient.

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

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

No output schema, yet description does not explain return values or effects. Lacks prerequisites (e.g., valid git repo, network access) and what happens on repeated runs. Incomplete for effective use by an agent.

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

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

Schema coverage is 100%, so baseline is 3. Description mentions limit and branch options but does not add meaning beyond the schema. Parameters are self-explanatory from schema descriptions.

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

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

Clearly states the tool bootstraps brain lessons from git history, parsing commit messages to infer fix/feature/refactor lessons. This distinct purpose differentiates it from siblings like brain_doctor or brain_predict.

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

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

Provides usage context: 'Great for onboarding an existing codebase — run once.' Implies one-time setup, but no explicit when-not-to-use or alternative sibling tools are mentioned.

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