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saidsef

GitHub PR Issue Analyser

by saidsef

Github Reply To Review Comment

github_reply_to_review_comment

Reply to a specific review comment on a pull request, keeping your response in the existing thread instead of creating a new one.

Instructions

Replies on an existing review thread rather than starting a new one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
pr_numberYes
repo_nameYes
comment_idYesThe review comment being replied to, which sets the thread
repo_ownerYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
bodyYes
lineNo
pathNo
sideNo
authorYes
html_urlYes
created_atYes
start_lineNo
start_sideNo
in_reply_to_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv42.0.0

TDQS

C2.8/5.0
Behavior2/5

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

Annotations indicate this is a write operation (readOnlyHint=false) and not destructive, but the description adds little beyond the 'reply' action. It does not disclose permission requirements, the effect on the thread, or response behavior. Given the annotations are sparse, the description should provide more behavioral context but does not.

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, clear sentence with no redundancy. It is efficiently written, though it may be too terse to be fully helpful. The front-loading of the key distinction is effective.

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?

For a mutation tool with five required parameters and low schema coverage, the description omits essential context such as how to obtain the comment_id, any prerequisites, or what the expected outcome is. The output schema exists, so return values are not required, but parameter guidance and operational context are missing.

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

Parameters1/5

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

Schema description coverage is only 20% (only comment_id has a description), and the tool description mentions no parameters at all. It does nothing to compensate for the missing schema documentation, leaving four of five parameters unexplained.

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 verb 'replies' and the resource 'existing review thread', and distinguishes from 'starting a new one'. However, it does not name specific sibling tools like github_add_inline_pr_comment or github_add_pr_comments, so it lacks explicit 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'rather than starting a new one' implies when to use this tool, but it does not explicitly name alternatives or provide exclusion criteria. The guidance is present but minimal and relies on inference rather than direct instruction.

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