Skip to main content
Glama

Change Risk Assessment

risk_assessment
Read-only

Assess the risk of uncommitted changes or a commit range using hotspot history, change size, author familiarity, and file sensitivity. Get a 0-100 score with per-file breakdown and recommendations.

Instructions

Assess the risk profile of uncommitted changes or a specific commit range. Combines multiple signals: file hotspot history, change size, number of files, author familiarity, and file type sensitivity. Returns a score 0-100 with per-file breakdown and actionable recommendations. NOTE: If the server was not started inside a git repo, you MUST provide repo_path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ref_rangeNoGit ref range to assess (e.g., "main..feature-branch"). Defaults to uncommitted changes.
repo_pathNoAbsolute path to the git repository to analyze. Required if Claude Code was not opened in a git repo.
Behavior4/5

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

Annotations state readOnlyHint=true, and the description adds that it combines multiple signals, returns a score 0-100 with per-file breakdown and actionable recommendations, and requires repo_path under a specific condition. This provides meaningful behavioral context beyond the annotation.

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?

Three sentences, each earning its place: purpose, output/signals, and a critical usage note. Front-loaded and free of fluff.

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

Completeness5/5

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

For a read-only analytical tool with no output schema, the description adequately covers when to use it, what signals contribute, what output to expect (score, breakdown, recommendations), and the mandatory repo_path condition. This is complete for its complexity.

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?

Both parameters are already fully described in the schema (100% coverage). The description repeats the repo_path requirement and ref_range default but does not add new semantic information beyond what the schema already provides.

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 opens with a specific verb and resource: 'Assess the risk profile of uncommitted changes or a specific commit range.' It also names the unique combination of signals (file hotspot history, change size, author familiarity, etc.) that distinguishes this tool from siblings like hotspots or branch_risk.

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?

The use case is clearly stated: assessing uncommitted changes or a commit range. It also gives a conditional usage guideline for repo_path when the server is not in a git repo. No explicit exclusions or alternative tool references, but the context is clear.

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/JBrightmanAI/GitIntel-MCP-Server'

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