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ado-workflows-mcp

ado-workflows-mcp

by grimlor
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

analyze_pr_comments

Retrieves all comment threads from a pull request, categorizes them by status, and extracts author statistics for a structured overview.

Instructions

Analyze all comment threads on a PR.

Fetches threads, categorizes by status, and extracts author statistics for a structured overview.

Args: pr_url_or_id: A full PR URL or numeric PR ID. working_directory: Optional path for context resolution.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "pr_url_or_id": "<pr_url_or_id>"
    },
    "name": "analyze_pr_comments"
  }
}

Input Schema

NameRequiredDescriptionDefault
pr_url_or_idYes
working_directoryNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.12.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description effectively discloses the behavioral traits: it fetches all threads, categorizes by status, and extracts author statistics. It implies a read-only operation with no destructive side effects, which is sufficient for an analysis tool. However, it could be clearer about potential implications like rate limits or performance.

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 extremely concise with three sentences and a parameter list, no wasted words. It front-loads the primary action and then details the parameters. Ideal for quick parsing by an AI agent.

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

Completeness4/5

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

Given the existence of an output schema (not provided but known), the description does not need to detail return values. It adequately covers the tool's operation and parameters. However, it lacks information on error handling or authentication requirements, which could affect completeness in some contexts.

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

Parameters4/5

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

The description adds meaning to both parameters: 'pr_url_or_id' is explained as a full PR URL or numeric PR ID, and 'working_directory' is described as an optional path for context resolution. Since the schema has 0% description coverage, this provides necessary clarity. It would benefit from examples or format constraints.

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 analyzes all comment threads on a PR, categorizing by status and extracting author statistics for a structured overview. This differentiates it from tools like 'list_pr_reviewers' or 'get_pr_review_status', but does not explicitly compare to 'analyze_pending_reviews', which might have overlap. The purpose is specific and actionable.

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 description implies usage for obtaining a structured overview of PR comments, but lacks explicit guidance on when to use this tool over alternatives. It does not mention when not to use it or provide exclusions, leaving the agent to infer context from the tool name and sibling list.

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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