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niradler

Dependency MCP Server

by niradler

check_versions_exist

Validate that specified versions of multiple packages exist concurrently. Use for bulk dependency checks, compatibility verification, and CI/CD pipeline assurance.

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, the description discloses important behavioral traits: parallel processing, a limit of 100 packages, and individual error handling. This adds meaningful context beyond the name and schema, though it does not mention return format or read-only confirmation.

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, front-loaded with purpose, then usage examples, then behavior. Every sentence earns its place with zero fluff or redundancy.

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?

For a simple check tool with two well-documented parameters and no output schema, the description covers purpose, use cases, and key behavioral constraints. It is complete enough for an agent to select and invoke correctly. A minor gap is the lack of return value description, but this is not essential for a boolean-like existence check.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already describes both parameters thoroughly (100% coverage). The description adds value by explaining the batch nature ('multiple packages', 'up to 100 packages') and the parallel processing, which gives practical meaning to the 'packages' parameter without contradicting the schema.

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 verb ('Check'), resource ('specific versions for multiple packages'), and scope (bulk), distinguishing it from singular sibling tools. It also adds use cases like 'bulk dependency validation' and 'CI/CD pipeline checks', leaving no ambiguity.

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?

Explicit use cases are given ('bulk dependency validation, CI/CD pipeline checks, or ensuring multiple package version compatibility'). It does not explicitly name alternatives or when not to use, but the 'multiple packages' scope versus siblings like check_version_exists implies a clear contrast.

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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