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Josephjyinn516

kiro-frontend-engineer-mcp

github_address_review_comments

Fetch open GitHub PR review comments and supply them to agent context for automated resolution.

Instructions

Fetch open PR review comments from GitHub to feed back into agent context for automated resolution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesGitHub repository owner
repoYesGitHub repository name
pullNumberYesPull request number
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'Fetch', which implies a read operation, but gives no details on side effects, authentication, rate limits, pagination, or whether it returns all comments or only specific types. The system's behavior on errors or empty results is also omitted.

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

Conciseness4/5

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

The description is a single sentence with no extraneous words. It is front-loaded with the action and purpose. While concise, it could include more information without sacrificing brevity, but no waste earns a 4.

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?

The tool has no output schema and the description does not explain the return format, structure, or content of the fetched comments. For a tool that feeds back into agent context, details on what the agent receives (e.g., list of comment objects, text, status) are critical. The description is incomplete in this aspect.

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 coverage is 100% with clear parameter descriptions (owner, repo, pullNumber). The tool description does not add any extra semantics beyond the schema, such as formatting or constraints. Baseline 3 is appropriate since the schema itself is sufficient.

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 tool fetches open PR review comments from GitHub for automated resolution. The verb 'Fetch' and resource 'open PR review comments' are specific, and the purpose is evident. Although the name 'address_review_comments' is ambiguous, the description clarifies. Sibling tools are in different domains, so no confusion.

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?

No guidance on when to use this tool versus alternatives. The description does not specify prerequisites, conditions, or scenarios where another tool would be more appropriate. For instance, there is no mention of when to use 'github_fetch_ci_logs' or others instead.

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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