add_comment_inline

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 mentions that the tool 'supports threaded conversations' and implies mutation ('Add'), but does not disclose other behavioral traits such as required permissions, rate limits, or what happens on success/failure. This leaves gaps for a mutation tool, though the purpose is clear.

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 sized and front-loaded, with the first sentence covering the core purpose and the second adding usage context. Every sentence adds value without redundancy, making it efficient and well-structured.

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 with 8 parameters and no annotations or output schema, the description is somewhat complete but lacks details on behavioral aspects like error handling or response format. It covers purpose and usage well but misses deeper contextual information needed for full agent understanding.

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 the input schema fully documents all 8 parameters. The description does not add any parameter-specific details beyond what the schema provides, such as examples or edge cases. This meets the baseline of 3, as the schema handles the heavy lifting.

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 specific action ('Add an inline comment'), target resource ('to the diff of a pull request'), and purpose ('for code review, feedback, questions, or discussion'). It distinguishes from the sibling 'add_comment' by specifying 'inline comment (to specific lines)' and mentions threaded conversations, providing clear differentiation.

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 explicitly states when to use this tool ('to provide review feedback, ask questions about specific changes, suggest improvements, or participate in code review discussions'), which gives clear context. However, it does not mention when not to use it or explicitly name alternatives like 'add_comment' for non-inline comments, which prevents a perfect score.

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