approve_patch

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Approve a patch') which implies a mutation, but fails to describe critical behavioral aspects such as required permissions, whether the action is reversible, potential side effects, or what the response looks like. This is inadequate for a mutation tool with zero annotation coverage.

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 appropriately concise with two sentences: one stating the purpose and another documenting the parameter. It's front-loaded with the core functionality, though the 'Args' formatting could be more integrated for better flow.

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 tool's complexity (a mutation operation with no annotations and no output schema), the description is incomplete. It lacks information about behavioral traits, response format, error conditions, and relationships to sibling tools, making it insufficient for safe and effective use by an AI 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?

The description includes an 'Args' section that documents the single parameter 'issue_id' and its type, adding meaning beyond the input schema which has 0% description coverage. However, it doesn't provide additional context like format examples, constraints, or where to find issue IDs, leaving some semantic gaps.

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 the action ('Approve a patch') and the target resource ('for a specific vulnerability issue'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from sibling tools like 'generate_patch' or 'mark_true_positive', which would require a 5.

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 (like needing a generated patch first), exclusions, or relationships to sibling tools such as 'generate_patch' or 'mark_true_positive', leaving the agent with insufficient context for proper tool selection.

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