get_pr_reviews

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

No annotations are provided, so the description carries the full burden. It states a read operation ('get') but does not disclose what the response contains (e.g., array of review objects, whether it includes review comments), pagination, authentication, or any limitations. The agent cannot infer the exact output format or whether it includes line-level comments. This is a significant gap for a tool with no output schema.

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?

A single, concise sentence with no fluff. It front-loads the verb and resource. Every word earns its place, and it is immediately scannable.

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?

For a simple read operation with fully documented parameters, the description is mostly adequate. However, the absence of an output schema and the lack of clarification on what constitutes a 'review' (vs comments) means the agent may not know if it should expect a list of review summaries or include review comments. Given the sibling get_pr_comments, a clearer distinction would enhance completeness.

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 100%, so all three parameters (owner, repo, prNumber) are documented in the schema. The description adds no parameter-specific details beyond what the schema already provides. Baseline 3 is appropriate.

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 clearly states a specific verb ('Get'), a resource ('reviews'), and context ('GitHub pull request'). It distinguishes itself from siblings like get_pr_comments (comments vs reviews) and analyze_pr_code (code analysis). No ambiguity.

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 when to use it: when you need reviews for a PR. It clearly differentiates from get_pr_comments by specifying 'reviews' rather than comments, but it does not explicitly name alternatives or exclusion conditions. The context is clear but not exhaustive.

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