mcp-shield

audit_supply_chain

Analyze npm package supply chain health by checking publish date, downloads, maintainers, dependencies, and CVEs to generate a trust score for security assessment.

Instructions

Audit an npm package's supply chain health: publish date, weekly downloads, maintainer count, dependency count, and known CVEs. Returns a trust score from 0-100.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "package_name": "<package_name>"
    },
    "name": "audit_supply_chain"
  }
}

Input Schema

Name	Required	Description	Default
`package_name`	Yes	npm package name to audit
`version`	No	Specific version (defaults to latest)

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Apr 13, 2026

TDQS

B3.3/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool returns a trust score (0-100) but lacks details on rate limits, authentication needs, error handling, or data sources. For a tool that likely queries external APIs, this is insufficient.

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 efficiently conveys the tool's purpose, key metrics, and output without any wasted words. It is appropriately sized and front-loaded with essential information.

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?

Given the tool's moderate complexity (analyzing npm packages) and lack of annotations or output schema, the description is partially complete. It covers the purpose and output type but misses behavioral details like data freshness, limitations, or error cases, leaving gaps for an agent.

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 the schema already documents both parameters (package_name and version). The description implies these parameters but adds no syntax, format, or contextual details beyond what the schema provides, meeting the baseline for high coverage.

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 the specific action ('audit'), resource ('npm package's supply chain health'), and scope ('publish date, weekly downloads, maintainer count, dependency count, and known CVEs'), distinguishing it from sibling tools like check_prompt_injection or scan_directory which target different resources.

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?

No guidance is provided on when to use this tool versus alternatives like scan_package (a sibling tool), nor are there any prerequisites or exclusions mentioned. The description only states what it does, not when it's appropriate.

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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