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mkearl

DependencyMCP Server

by mkearl

check_versions_exist

Validate specific package versions across multiple registries to ensure dependency compatibility and prevent deployment failures in CI/CD pipelines.

Instructions

Check if specific versions exist for multiple packages. Use for bulk dependency validation, CI/CD pipeline checks, or ensuring multiple package version compatibility. Processes up to 100 packages in parallel with individual error handling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packagesYesArray of package objects with name and version
registryYesPackage registry/manager to check
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it processes 'up to 100 packages in parallel' and has 'individual error handling.' However, it doesn't specify the return format or what happens when packages exceed the limit, leaving some gaps.

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 highly concise and front-loaded, with two sentences that efficiently cover purpose, usage guidelines, and behavioral traits. Every sentence adds value without redundancy, making it easy for an agent to parse quickly.

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 tool's moderate complexity (bulk processing with error handling), no annotations, and no output schema, the description is mostly complete but lacks details on return values or error formats. It compensates well with clear purpose and behavioral context, though output specifics are missing.

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 the schema fully documents the two parameters. The description adds no additional parameter semantics beyond what's in the schema, such as format details or constraints. Baseline 3 is appropriate when the schema does the heavy lifting.

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 the tool's purpose with specific verbs ('check if specific versions exist') and resources ('multiple packages'), distinguishing it from siblings like 'check_version_exists' (singular) and 'get_latest_version' (latest vs. specific). It explicitly mentions bulk processing for dependency validation, CI/CD, and compatibility checks.

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

Usage Guidelines5/5

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

The description provides explicit usage scenarios: 'bulk dependency validation, CI/CD pipeline checks, or ensuring multiple package version compatibility.' It implicitly distinguishes from siblings by emphasizing bulk processing (vs. single-package tools) and specific version checking (vs. latest version tools).

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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