ai.summarize_pr

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the output content and does not clarify that this is a read-only AI operation, mention authentication or any side effects, or describe failure modes for missing PRs.

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?

The description is a single, focused sentence that front-loads the core action and content scope. No unnecessary words or repetition are present.

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?

Given the presence of an output schema, the return format is covered elsewhere. The description clearly states the purpose and summary content, and the required parameters are evident from the schema. It lacks notes on edge cases or prerequisites, but for a simple summarization tool this is adequate.

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 description coverage is 0%, and the description adds no parameter-related meaning. The names owner, repo, and pull_number are self-explanatory, but the description does not explicitly map them to the target PR or provide any additional format/constraint information.

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?

The description uses a specific verb ('Produce a concise summary') and names the resource ('a pull request') plus the content scope ('what it does, how, and notable changes'). This clearly distinguishes it from sibling tools like github.get_pr (raw PR data) and ai.review_pr (evaluation).

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?

The description implies usage for summarizing a pull request but does not explicitly state when to use this tool instead of alternatives such as github.get_pr or ai.review_pr. No exclusions or alternative context are provided.

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