NPM Sentinel MCP

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

Annotations already indicate this is a read-only, open-world, idempotent operation, covering key behavioral traits. The description adds context by specifying 'maintenance metrics' (e.g., from NPMS.io as hinted in the title), which helps the agent understand the scope and data source beyond the annotations, though it could detail more about what metrics are included.

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 a single, efficient phrase that directly states the tool's purpose without unnecessary words. It's front-loaded and every part earns its place, making it highly concise and well-structured for quick understanding.

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 annotations cover safety and behavior (read-only, etc.), and the schema fully documents the single parameter, the description is adequate for a basic analysis tool. However, without an output schema, it doesn't explain what metrics are returned or the response format, leaving some gaps in completeness for the agent to infer.

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 description coverage is 100%, with the parameter 'packages' clearly documented as 'List of package names to analyze'. The description doesn't add any extra meaning beyond this, such as format examples or constraints, so it meets the baseline for high schema coverage without compensating further.

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 'Analyze package maintenance metrics' clearly states the action (analyze) and resource (package maintenance metrics), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'npmQuality' or 'npmScore' which might also analyze related metrics, so it doesn't reach the highest score.

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 alternatives like 'npmQuality' or 'npmScore' which might analyze overlapping aspects of package maintenance. There's no mention of prerequisites, specific contexts, or exclusions, leaving the agent without clear usage direction.

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