Skip to main content
Glama
NY5184

dependency-health

by NY5184

dependency_health_check

Assess upgrade impact of project dependencies by comparing current and latest versions, retrieving changelogs, and release dates for npm and pip projects.

Instructions

Analyzes project dependencies and provides contextual data to assess upgrade impact.

Supports: npm (package.json) and pip (requirements.txt) only. Other package managers (Poetry, Pipenv, Cargo, Go modules, Maven, Gradle, Composer, NuGet, etc.) are not supported.

Returns for each dependency: name, current version, latest version, status, changelog_content (actual release notes or explanatory message), description, and release_date.

When to use this tool:

  • User asks about dependency versions/updates in a specific project

  • User requests dependency health check or audit

  • Before suggesting upgrades that require inspecting actual project dependencies

How to analyze results:

  1. Use changelog_content to identify specific changes, bug fixes, breaking changes

  2. State that assessment is limited if changelog could not be fetched

  3. Direct user to source URL if mentioned in changelog_content

  4. Do not infer changes not explicitly stated in changelog_content

  5. Use description and release_date to assess maturity/stability

  6. Consider major version gaps as potential breaking change indicators

Provide recommendations (low/medium/high impact) based on risk, scope, and maintenance implications—not just version differences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYes
Behavior4/5

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

No annotations are provided, so the description bears full burden. It details return fields (name, current version, etc.), supported managers, and limitations (only npm/pip). It also advises on interpreting changelog_content and not inferring unstated changes. This is thorough for a read-analysis tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-structured with sections and bullet points. It front-loads the purpose and supported managers. However, the 'How to analyze results' section, while useful, adds length. It could be more concise without losing value.

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?

The output format is described, but the input parameter 'payload' is left undefined, making the tool incomplete. Given no output schema, the description covers return fields well, but the missing input specification severely limits completeness.

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?

The input schema has one required parameter 'payload' (an object with additionalProperties true) but schema coverage is 0%. The description does not explain what the payload should contain (e.g., project path). This is a critical omission, leaving the agent unable to correctly invoke the tool.

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 explicitly states the tool analyzes project dependencies to assess upgrade impact, lists supported managers (npm, pip), and clearly distinguishes unsupported ones. This provides a specific verb and resource with clear scope.

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?

A dedicated 'When to use this tool' section provides three specific scenarios (e.g., user asks about dependency versions, requests health check, before upgrades). However, no sibling tools are listed, so no explicit exclusions or alternatives are given.

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/NY5184/mcp-dependency-health'

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