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pipseedai

GitHub MCP Server

by pipseedai

github_create_comment

Add comments to GitHub issues or pull requests to provide feedback, answer questions, or track discussions. Specify repository details and comment content to contribute to project conversations.

Instructions

Add a comment to an issue or pull request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesRepository owner
repoYesRepository name
issue_numberYesIssue or pull request number
bodyYesComment body (markdown supported)
Behavior2/5

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. While 'Add a comment' implies a write operation, it doesn't specify authentication requirements, rate limits, whether comments are editable/deletable, or what happens on success/failure. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that states the core functionality without any wasted words. It's appropriately sized and front-loaded with the essential information, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given this is a mutation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't address authentication needs, error conditions, response format, or how it differs from similar sibling tools. The 100% schema coverage helps with parameters, but other critical contextual information is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all four parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (like explaining the relationship between owner/repo/issue_number or body formatting). Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 an issue or pull request'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like github_update_issue, which might also involve commenting, so it doesn't reach the highest score for sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 github_update_issue for issue modifications or other commenting methods. It lacks any context about prerequisites, permissions needed, or specific scenarios where this tool is appropriate.

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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