dependency-management-mcp-server

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds meaningful context about the output content (quality, license, security metadata) and dependency terminology, going beyond what annotations provide without contradicting them.

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

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

The description is three sentences, front-loaded with the core purpose. Each sentence adds distinct value: what it returns, synonyms for dependencies, and the transitive/direct distinction. There is no redundancy or fluff.

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

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

There is no output schema, but the description specifies the output type ('detailed analysis' with metadata about quality, license, and security) and clarifies dependency types. Combined with strong annotations and full schema parameter coverage, this is adequate for a query tool, though it does not detail the exact structure of the returned analysis.

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

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

Schema description coverage is 100%: packageUrls is thoroughly documented with PURL format, Maven namespace requirement, version requirement, and the 20-item limit. The description adds terminology context but does not enhance parameter understanding beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Returns detailed analysis of a specific dependency or multiple dependencies with metadata about quality, license and security.' It specifies the resource (dependencies/components) and the verb (returns), and distinguishes from siblings by emphasizing 'specific' versus the latest/recommended alternatives.

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

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

The description provides clear context by stating it works for a 'specific dependency or multiple dependencies' and clarifies transitive vs direct dependencies. It implies use cases where a particular version is known, contrasting with siblings like getLatestComponentVersion and getRecommendedComponentVersions, though it does not explicitly name these alternatives or provide exclusion criteria.

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

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

Annotations already establish the tool as read-only, idempotent, and non-destructive. The description adds context about the returned data (quality, license, security) and clarifies dependency terminology, but does not disclose other behavioral aspects like error handling or semantics when a version is included in the PURL. This is acceptable given annotations, but limited beyond them.

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

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

The description is concise and front-loaded, with the core function stated in the first sentence. The subsequent sentences clarify terminology and dependency scoping without redundancy, making every sentence purposeful and well-structured.

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

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

The description covers the core purpose and return data, but lacks guidance on how this tool compares to the recommended/specific version siblings. It also does not clarify behavior when a version is provided in the PURL (e.g., ignored or used), leaving a semantic gap. Given the tool's moderate complexity and related siblings, it is adequate but not fully complete.

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

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

The schema provides comprehensive coverage for packageUrls, including PURL format, Maven namespace requirement, optional version, and a 20-item limit. The description adds only background context about dependency types (transitive/direct) rather than specific parameter semantics, so it does not meaningfully exceed what the schema already offers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns the latest version of dependencies along with quality, license, and security data. It uses a specific verb ('returns') and resource concept ('latest version of a dependency or multiple dependencies'), which distinguishes it from sibling tools that focus on specific or recommended versions.

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

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

The description does not explicitly state when to prefer this tool over getComponentVersion or getRecommendedComponentVersions. It implies usage by describing the output but lacks explicit directional guidance or exclusions, so the agent must infer applicability from context.

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

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

Annotations already cover read-only, idempotent, non-destructive traits. Description adds behavioral context by explaining how the tool behaves differently with or without a version, and clarifies the meaning of Developer Trust Score. This goes beyond annotation coverage.

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

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

The description is reasonably concise with three main sentences plus a clarifying note on dependency terminology. It is front-loaded with the core purpose, though the last two sentences about direct/transitive dependencies add some extra detail.

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

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

For a single-parameter read-only tool with no output schema, the description adequately explains what it returns, when to use it, and the ranking concept. It could specify the return format more explicitly, but the high-level output description is sufficient for an agent to invoke it correctly.

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

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

Schema description coverage is 100% and already explains PURL, Maven namespace, version optionality, and the 20-item limit. The tool-level description adds usage context (new vs upgrade) but not additional parameter-specific details beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description states it 'Returns top dependency version recommendations ranked by Developer Trust Score with security, licensing, and quality analysis,' which is a specific verb+resource. It clearly distinguishes itself from siblings by focusing on recommendations rather than a single version lookup.

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

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

Explicitly says 'Use this when selecting a new component to add to a project (without version) or when upgrading an existing component (with version),' giving clear context. It does not explicitly name alternatives or exclusion cases, but the use cases are well-defined.

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