approve_pull_request

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Approve a pull request' implies a write/mutation operation that likely requires specific permissions and changes the PR state, but it doesn't disclose any behavioral traits such as required authentication, side effects (e.g., triggering merges), rate limits, or what happens on success/failure. The description is minimal and lacks critical context for safe use.

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 extremely concise with a single sentence 'Approve a pull request', which is front-loaded and wastes no words. It directly states the tool's purpose without unnecessary elaboration, making it efficient for quick understanding, though this brevity contributes to gaps in other dimensions.

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 complexity of a mutation tool (approving PRs) with no annotations and no output schema, the description is incomplete. It fails to cover behavioral aspects like permissions, side effects, or return values, and doesn't address usage context relative to siblings. For a tool that modifies data, this minimal description leaves significant gaps for an AI agent to operate safely and effectively.

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?

The input schema has 100% description coverage, with clear parameter descriptions (e.g., 'Pull request ID', 'Repository slug'). The description adds no additional meaning beyond what the schema provides, such as explaining how parameters interact or format specifics. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 'Approve a pull request' clearly states the action (approve) and resource (pull request), but it's vague about what 'approve' entails in this context (e.g., formal approval vs. informal). It distinguishes from siblings like 'unapprove_pull_request' by being the opposite action, but doesn't differentiate from other PR-related tools like 'merge_pull_request' or 'update_pull_request' in terms of purpose.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing review permissions), when not to use it (e.g., if changes are requested), or direct alternatives like 'request_changes' or 'merge_pull_request'. Usage is implied only by the tool name and context, with no explicit instructions.

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