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package-intel-mcp

package_health

A composite trust/health check for a package an agent is considering: latest-release recency, deprecation status, license present, maintainer count, dependency count, and any known security advisories (via deps.dev). Returns a summary an agent can act on. Ecosystems: npm, pypi, cargo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesExact package name as published in that registry, e.g. express for npm, requests for pypi, serde for cargo.
ecosystemYesPackage registry to look in. One of: npm, pypi, cargo.

TDQS

A4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It transparently lists the data sources (registry, deps.dev for advisories) and the components of the health check. It discloses that it returns a summary, implying a read-only operation with no side effects. It does not mention failure modes, rate limits, or the exact output format, but for a composite read-only check this is reasonably transparent.

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

Conciseness5/5

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

The description is a single, well-structured sentence that front-loads the purpose ('composite trust/health check'), lists concrete data points, mentions the external source (deps.dev), and closes with the actionability and supported ecosystems. Every clause adds value; there is no filler or repetition.

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

Completeness4/5

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

There is no output schema, so the description must convey what the tool returns. It states 'Returns a summary an agent can act on' and enumerates the factors included, which gives a solid idea of the output. It does not specify the exact structure (e.g., JSON fields, numeric score), but the list of inspected dimensions provides sufficient context for an agent to interpret the result. Given the simple read-only nature and two input parameters, this is close to complete.

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

Parameters3/5

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

The input schema already documents both parameters (name with examples, ecosystem as an enum). The description repeats the enum values but adds no new semantic detail beyond what the schema provides. With 100% schema coverage, the baseline of 3 applies; the description does not augment the parameter meaning.

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

Purpose5/5

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

The description clearly states a specific verb ('check') and resource ('package'), and enumerates the exact dimensions inspected (recency, deprecation, license, maintainer count, dependency count, security advisories). It positions itself as a 'composite trust/health check', which is distinct from sibling tools like package_dependencies or package_search, so an agent can immediately grasp its unique purpose.

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

Usage Guidelines3/5

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

The description says it is for 'a package an agent is considering' and that it returns 'a summary an agent can act on', implying a decision-making context. However, it does not explicitly state when to use this over alternatives (e.g., package_info for detailed metadata, package_dependencies for specific dependency lists) or when not to use it. The guidance is implied rather than explicit.

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

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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct aspect of package intelligence: dependencies, download statistics, health, metadata, search, and version history. There is no overlap in purpose, and the descriptions clearly differentiate what each tool returns.

Naming Consistency5/5

All tools follow the consistent pattern 'package_' plus a descriptive noun (dependencies, downloads, health, info, search, versions). The naming is uniform, snake_case, and immediately conveys each tool's function.

Tool Count5/5

Six tools is well within the ideal 3–15 range and matches the server's single focus on package evaluation. Each tool covers a necessary facet without redundancy or bloat.

Completeness5/5

The tool surface covers the full lifecycle of package evaluation: discovering packages via search, inspecting metadata, checking version history, assessing popularity, and performing a composite health check including security advisories. No obvious gaps exist for the stated purpose.