netintel_npm_intel

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the categories of data returned, which is the main behavioral signal an agent needs for a read-only analysis tool, but it says nothing about rate limits, auth requirements, error behavior for nonexistent packages, or whether the quality/maintenance score is a derived metric with a defined scale.

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?

A single sentence with the resource stated first and the returned facets listed after, with zero filler. Nothing is repeated or wasted.

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?

With no output schema and no annotations, the description is the only source of return-value information, and its enumeration of facets partially covers that gap. However, it omits the package-name format and gives no sense of output shape, so it is only minimally sufficient for calling the tool 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 0% for the single `package` parameter. The description implies the argument is an npm package name, which is largely inferable from the property name and type, but it adds no format detail — notably nothing about scoped packages (`@scope/name`), version qualifiers, or case sensitivity.

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 states a specific verb ("Analyze") and resource ("npm package") and enumerates the returned facets: versions, weekly downloads, maintainers, dependencies, quality and maintenance score. An agent can tell it apart from sibling tools like netintel_github_intel or netintel_tech_fingerprint, though it never explicitly names an alternative to sharpen the boundary.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives (e.g. github_intel for repository-level data). The agent must infer the applicable scenario purely from the tool name and the listed facets.

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