dependency-management-mcp-server

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, and idempotentHint=true, covering safety and idempotency. The description adds value by specifying the type of analysis (quality, license, security) and dependency types (transitive/direct), but does not disclose additional behavioral traits like rate limits, authentication needs, or response format. No contradiction with annotations exists.

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 appropriately sized with three sentences that efficiently convey purpose and scope without redundancy. It is front-loaded with the main function, though minor improvements could enhance clarity. Every sentence adds value, such as defining dependencies and their types.

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?

Given the tool's moderate complexity (analysis of dependencies), rich annotations (covering safety and idempotency), and no output schema, the description is adequate but incomplete. It explains what the tool does but lacks details on output format, error handling, or integration with sibling tools, leaving gaps for an AI agent to infer usage fully.

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%, with the parameter 'packageUrls' fully documented in the schema (PURLs, Maven namespace requirement, version required, 20-item limit). The description does not add meaning beyond the schema, as it mentions dependencies generally without detailing parameter usage. Baseline score of 3 is appropriate given high schema coverage.

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 detailed analysis of a specific dependency or multiple dependencies with metadata about quality, license and security,' specifying the verb (returns analysis) and resource (dependencies). It distinguishes dependencies as packages/components/libraries and mentions transitive vs. direct types, but does not explicitly differentiate from sibling tools like getLatestComponentVersion or getRecommendedComponentVersions, which likely focus on version recommendations rather than analysis.

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 no guidance on when to use this tool versus its siblings (getLatestComponentVersion, getRecommendedComponentVersions). It mentions dependencies can be transitive or direct, which implies some context, but lacks explicit when-to-use or when-not-to-use statements, alternatives, or prerequisites for effective tool selection.

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 provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=false, covering safety and idempotency. The description adds valuable context beyond this: it clarifies that the tool returns 'quality, license and security data' alongside version information, which isn't captured in annotations. No contradictions with annotations exist.

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 appropriately concise with three sentences that each add value: the first states the core functionality, the second defines dependencies, and the third clarifies dependency types. It's front-loaded with the main purpose, though the second sentence could be slightly more integrated to improve flow.

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?

Given the tool's moderate complexity (single parameter with full schema coverage, no output schema) and rich annotations, the description is adequate but has gaps. It explains what the tool returns but doesn't detail the format or structure of the returned data (e.g., how quality, license, and security data are presented), which would be helpful since there's no output schema.

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 input schema has 100% description coverage, with the 'packageUrls' parameter fully documented in the schema itself (including format details like PURL, Maven namespace requirements, optional version, and 20-item limit). The description doesn't add any parameter-specific semantics beyond what's in the schema, so it meets the baseline of 3 for high schema coverage.

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 purpose: 'Returns the latest version of a dependency or multiple dependencies with quality, license and security data.' It specifies the verb ('returns'), resource ('latest version of a dependency'), and additional data included. However, it doesn't explicitly differentiate from sibling tools like 'getComponentVersion' or 'getRecommendedComponentVersions' beyond mentioning 'latest version'.

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 some implied usage context by explaining what dependencies are ('packages, components or libraries') and distinguishing between transitive and direct dependencies. However, it doesn't explicitly state when to use this tool versus its siblings ('getComponentVersion' or 'getRecommendedComponentVersions'), nor does it provide any exclusion criteria or prerequisites for usage.

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?

The annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=false, covering safety and idempotency. The description adds valuable context beyond annotations by explaining what Developer Trust Score measures (quality, security, licensing, maintainability) and clarifying terminology (dependencies as packages/components/libraries, transitive vs. direct). It does not contradict annotations, as 'returns' aligns with read-only behavior.

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 front-loaded with the core purpose in the first sentence. Subsequent sentences add necessary context about Developer Trust Score and usage guidelines. While slightly verbose in explaining dependency terminology, each sentence contributes to clarity without significant waste.

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?

Given the tool's complexity (recommendation system with multiple analysis dimensions), annotations cover safety aspects, and the schema fully documents parameters. The description provides good context on usage scenarios and score meaning. Without an output schema, it doesn't detail return values, but for a recommendation tool, the description is reasonably complete for agent understanding.

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%, so the schema already fully documents the packageUrls parameter (PURL format, version optional, limit to 20). The description adds some semantic context by explaining that omitting version is for new components and including version is for upgrades, but this is largely redundant with the schema's description. Baseline 3 is appropriate given high schema coverage.

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 top dependency version recommendations ranked by Developer Trust Score with security, licensing, and quality analysis.' It specifies the verb ('returns'), resource ('dependency version recommendations'), and ranking criteria. It distinguishes from siblings by focusing on recommendations rather than retrieving specific version information like getComponentVersion or getLatestComponentVersion.

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 explicitly states when to use this tool: 'Use this when selecting a new component to add to a project (without version) or when upgrading an existing component (with version).' It provides clear alternatives by mentioning sibling tools implicitly (getComponentVersion, getLatestComponentVersion) and specifies the context for both new and upgrade scenarios.

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