DependencyMCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key traits: parallel processing capability, error isolation (individual results per package), performance advantage for bulk operations, and a package limit (up to 100). However, it doesn't mention potential rate limits, authentication requirements, or error handling specifics, leaving some behavioral aspects uncovered.

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 and front-loaded: the first sentence states the core purpose, followed by usage guidelines and behavioral details. Every sentence adds value—explaining when to use, constraints, and benefits—with zero redundant or vague information. The structure efficiently guides the agent from general purpose to specific application.

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 (2 parameters, no output schema, no annotations), the description is largely complete. It covers purpose, usage, key behaviors (parallel processing, error isolation), and performance context. However, without an output schema, it doesn't detail return values (e.g., format of 'individual results'), leaving a minor gap in full contextual 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 documents both parameters ('packages' as an array of package names, 'registry' as an enum of package managers). The description adds minimal parameter semantics beyond this, only implying that 'packages' accepts multiple items and 'registry' specifies where to check. This meets the baseline 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 with specific verbs ('Get latest versions') and resources ('multiple packages simultaneously'), distinguishing it from sibling tools like 'get_latest_version' (singular) and 'check_version_exists' (existence check rather than version retrieval). It explicitly mentions parallel processing and error isolation, which are unique functional aspects.

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 explicit usage guidance: 'Use when checking 3+ dependencies' specifies a quantitative threshold, 'processes up to 100 packages in parallel' sets a limit, and 'Much faster than individual calls for multiple packages' contrasts with alternatives like 'get_latest_version' (singular). This clearly indicates when to prefer this tool over siblings.

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