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sec-graph

by Vadale
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

list_prs

Lists open GitHub PRs with CI status, review state, and graph impact, enabling you to verify if an area is already addressed before starting work.

Instructions

List open GitHub PRs with CI status, review state, and graph impact (which communities each PR touches, blast radius). Use this before starting work to check if a PR already covers the area you're about to change.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_prs"
  }
}

Input Schema

NameRequiredDescriptionDefault
baseNoBase branch to filter PRs by (auto-detected if omitted)
repoNoGitHub repo (owner/repo). Defaults to current repo.
project_pathNoAbsolute path to a project directory containing graphify-out/graph.json. Optional — defaults to the graph this server was started with.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations provided, so description carries full burden. Mentions the data returned (CI status, review state, graph impact) but does not state that it is a read-only operation or disclose any side effects, auth requirements, or rate limits.

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?

Two sentences with no waste. First sentence clearly states purpose and outputs; second sentence gives usage context. Front-loaded and efficient.

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 no output schema and no annotations, description provides a reasonable overview. However, it lacks explanation of the output structure for 'graph impact' and does not specify pagination or filtering beyond parameters. Adequate but could be more complete.

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 baseline is 3. Description adds minimal value beyond schema descriptions; it does not provide additional parameter details like default behavior for omitted parameters or format expectations.

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

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description explicitly states the tool lists open GitHub PRs with CI status, review state, and graph impact. Action verb 'List' and specific resource 'open GitHub PRs' along with key data points, distinguishing it from siblings like get_pr_impact and triage_prs.

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

Usage Guidelines4/5

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

Provides explicit usage context: 'Use this before starting work to check if a PR already covers the area you're about to change.' Does not explicitly mention when not to use or list alternatives, but the guidance is clear and actionable.

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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