add_pr_comments

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

With no annotations provided, the description fully carries the transparency burden. It details parameters, return type, and raises three specific error types, providing good insight into behavior beyond just the action.

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 concise and well-structured with a clear purpose sentence followed by Args, Returns, Raises sections. It is front-loaded, but the inclusion of escaped newlines slightly detracts from readability.

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 4-parameter mutation tool with no annotations, the description covers inputs, outputs (JSON response), and errors. Missing are details about authentication requirements or side effects, but it is sufficiently complete for basic usage.

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%, so the description must add meaning. It only repeats parameter names and types (e.g., 'repo_owner (str)') without adding constraints or format details, thus adding minimal value over the input schema.

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 tool 'adds a comment to a specific pull request on GitHub', specifying a verb and resource. It naturally distinguishes from the sibling 'add_inline_pr_comment' which targets inline comments.

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 lists parameters and errors but does not explicitly state when to use this tool versus alternatives like 'add_inline_pr_comment'. Usage is implied but not explicitly guided.

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