create_issue_comment
Add comments to GitHub issues to provide updates, ask questions, or share information within project workflows.
Instructions
Add a comment to a GitHub issue
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| issueNumber | Yes | ||
| body | Yes |
Add comments to GitHub issues to provide updates, ask questions, or share information within project workflows.
Add a comment to a GitHub issue
| Name | Required | Description | Default |
|---|---|---|---|
| issueNumber | Yes | ||
| body | Yes |
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. It states the action ('Add a comment') which implies a write operation, but doesn't cover permissions needed, rate limits, error conditions, or what happens on success (e.g., comment ID returned). This leaves significant gaps for a mutation tool.
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 gets straight to the point with zero wasted words. It's appropriately sized for a simple tool and front-loads the essential information without unnecessary elaboration.
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 mutation tool with 2 parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't address behavioral aspects like permissions or response format, leaving the agent with insufficient context to use the tool effectively beyond basic parameter inference.
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 compensate for undocumented parameters. It mentions 'a GitHub issue' which hints at 'issueNumber', and 'comment' which relates to 'body', but doesn't explain parameter formats (e.g., issueNumber as integer, body as markdown) or constraints. This adds minimal value beyond the schema's structure.
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 ('Add a comment') and target resource ('to a GitHub issue'), making the purpose immediately understandable. It doesn't differentiate from siblings like 'update_issue_comment' or 'list_issue_comments', but it's specific enough to avoid confusion with unrelated tools.
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 like 'update_issue_comment' or 'delete_issue_comment', nor does it mention prerequisites such as issue existence or authentication requirements. It's a basic statement of function without contextual usage information.
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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