list_issue_comments
Retrieve all comments from a GitHub issue to track discussions and gather feedback for project management.
Instructions
List all comments on a GitHub issue
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| issueNumber | Yes | ||
| perPage | No |
Retrieve all comments from a GitHub issue to track discussions and gather feedback for project management.
List all comments on a GitHub issue
| Name | Required | Description | Default |
|---|---|---|---|
| issueNumber | Yes | ||
| perPage | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While 'List all comments' implies a read-only operation, it doesn't disclose important behavioral aspects like pagination behavior (implied by the 'perPage' parameter), authentication requirements, rate limits, error conditions, or what 'all' means in practice (e.g., chronological order, filtering capabilities).
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 a single, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized for a simple listing operation and gets straight to the point with zero waste.
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 tool with 2 parameters (one required), no annotations, no output schema, and 0% schema description coverage, the description is inadequate. It doesn't explain parameter usage, return format, pagination, error handling, or how it differs from related tools. The agent would struggle to use this effectively without additional context.
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?
With 0% schema description coverage for both parameters, the description provides no semantic information about 'issueNumber' (what format? repository context?) or 'perPage' (what values are valid? default behavior?). The description mentions 'all comments' which implies the tool returns comments, but doesn't explain how parameters affect this behavior.
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's purpose with a specific verb ('List') and resource ('comments on a GitHub issue'), making it immediately understandable. However, it doesn't differentiate from sibling tools like 'get_issue' or 'list_issues' which might also provide comment information, so it doesn't reach the highest score.
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. With sibling tools like 'get_issue' (which might include comments) and 'create_issue_comment' (for adding comments), there's no indication of when this specific listing tool is preferred or what its scope limitations might be.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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