Skip to main content
Glama
UrbanDiver

Local DeepWiki MCP Server

by UrbanDiver

get_churn_metrics

Read-onlyIdempotent

Identify high-risk code hotspots by analyzing file change frequency and cyclomatic complexity from git history. Reports churn concentration to prioritize refactoring.

Instructions

Analyze file change frequency from git history. Shows which files change most often, optionally overlaid with cyclomatic complexity to find high-risk hotspots (frequently changed + complex). Also reports churn concentration (Gini coefficient).

No prior indexing required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repo_pathYesPath to the repository
window_daysNoDays of git history to analyze (1-365, default: 90)
top_nNoNumber of top results (1-100, default: 20)
include_complexityNoInclude churn×complexity composite (default: true)
Behavior4/5

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

Annotations already indicate read-only and idempotent. The description adds that no prior indexing is required and reports Gini coefficient, providing useful behavioral context beyond annotations.

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 two sentences, directly states the main purpose, and includes key details without extraneous information. Perfectly concise.

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, the description explains the tool's output (files, complexity, Gini) fairly well. It is complete for a metrics tool, though return format is not described.

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%, so the description adds marginal value. It mentions optional complexity overlay which relates to include_complexity, but the schema already describes all parameters adequately.

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?

The description clearly states it analyzes file change frequency from git history and identifies high-risk hotspots. It distinguishes from siblings by mentioning specific output like Gini coefficient and optional complexity overlay.

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 analyzing churn and hotspots but does not explicitly state when to use this tool over siblings like get_hotspots or get_complexity_metrics. No direct alternatives or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/UrbanDiver/local-deepwiki-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server