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UK Data: Software packages and vulnerabilities

package_info

Read-onlyIdempotent

Latest version, publish date, deprecation, licences, advisories and links for a package (deps.dev). (cost: 1 credit)

Input Schema

NameRequiredDescriptionDefault
nameNostring, required
ecosystemNonpm|pypi|cargo|go|maven|nuget|rubygems

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. Beyond that the description adds two genuinely useful facts: the one-credit call cost and the field set a caller can expect back, which matters because no output schema exists. It still says nothing about package-not-found behavior or whether deprecated/advised packages change the response.

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

Conciseness4/5

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

A single compact statement with the returned fields and cost front-loaded and no filler. The telegraphic list style is efficient, though it reads as a label dump rather than a sentence explaining the tool.

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

Completeness3/5

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

For a two-optional-parameter lookup with no output schema, the description covers what is returned, the data source and the cost — the essentials. It leaves gaps around whether ecosystem is effectively mandatory, what happens when a package is unknown in the given ecosystem, and how version-less lookups resolve.

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?

Schema coverage is 100% and the ecosystem parameter already documents the allowed values (npm|pypi|cargo|go|maven|nuget|rubygems), so the schema carries the parameter burden. The description adds only the notion of 'a package' and the deps.dev source, not naming conventions (scoped npm names, case sensitivity) or how name and ecosystem must be paired.

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

Purpose4/5

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

The description names the resource (a package), the specific data returned (latest version, publish date, deprecation, licences, advisories, links) and the backing source (deps.dev). That is concrete enough for an agent to know it is a package-metadata lookup, though it never distinguishes itself from nearby siblings such as vuln_check or product_barcode.

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

Usage Guidelines2/5

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

There is no explicit when-to-use or when-not-to-use guidance and no named alternative; the only hint is the parenthetical '(deps.dev)' source. An agent must infer that this is the package-ecosystem counterpart to the repository/security tools on its own.

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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