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software_risk_check

Should I install this package version? Known vulnerabilities for one package@version from OSV.dev (GitHub, PyPA, Go and RustSec advisories), whether any is on CISA's Known Exploited Vulnerabilities list, and the version that fixes each, with the licence and credit for every source. Absence of advisories is not proof of safety. $0.003 per call over x402 (USDC on Arc, Base or Solana, or XNT on X1). Call once without payment for the terms, sign them with your own wallet, call again with payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packageYespackage name, e.g. lodash
paymentNoa signed x402 payment (the base64 payload you would put in PAYMENT-SIGNATURE). Pass it and the purchase completes inside this tool call.
versionYesexact version, e.g. 4.17.15
ecosystemYesnpm, PyPI, Go, crates.io, Maven, NuGet, RubyGems, Packagist, Hex or Pub

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses cost ($0.003/call), the payment/authorization mechanism and currencies, the two-call requirement, the data sources, and an explicit caveat that absence of advisories is not proof of safety. These are material behavioral traits not present in any structured field.

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?

Front-loaded with the decision question and the data sources before the pricing/flow logistics, and it stays in a single dense block. Some content (payment payload wording) duplicates the schema, but there is no padding or boilerplate.

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?

For a 4-parameter, no-output-schema, unannotated tool, the description covers what is returned (vulnerabilities, KEV status, fixing version, licence, credit), the cost, and the payment flow. It omits rate limits, error behavior, and what happens on unknown ecosystems, which keeps it short of a 5.

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 description coverage is 100%, so baseline is 3. The description restates the `payment` semantics (base64 PAYMENT-SIGNATURE payload, completes the purchase in-call) that the schema already documents, and adds no format/syntax detail for `package`, `version` or `ecosystem` beyond what the schema provides.

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?

Opens with a concrete decision framing ('Should I install this package version?') then states the exact resource and scope: known vulnerabilities for one package@version from OSV.dev, CISA KEV membership, fixing versions, plus licence/credit. An agent can distinguish this from generic token/contract checks in the sibling list without opening the schema.

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

Usage Guidelines4/5

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

Gives explicit procedural guidance for the x402 handshake (call once without `payment` for terms, sign, call again with `payment`) and states the cost per call. It does not name any sibling alternative or a when-not condition, so it falls short of a 5.

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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