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Go Modules Intelligence — Package Health & Risk (AI)

go_modules_intelligence
Read-only

Analyze Go modules for license compliance, security advisories, and risk…. Analyze Go modules for license compliance, security advisories, and risk assessment using AI tools for due diligence on GitHub.

Input Schema

NameRequiredDescriptionDefault
inputNoInput for Go Modules Intelligence — Package Health & Risk (AI). See https://apify.com/noniner/go-modules-intelligence.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that analysis is AI-driven (implying non-deterministic, possibly slow/costly runs) but says nothing about runtime, cost, rate limits, or what a 'risk' verdict contains. With annotations present, a 3 is fair.

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

Conciseness2/5

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

The text is literally duplicated with an ellipsis in the middle ('...risk…. Analyze Go modules for license compliance, security advisories, and risk assessment...'), which reads as a broken template and wastes half the payload. The useful content is front-loaded, but the repetition is a real defect.

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

Completeness2/5

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

For a tool whose only parameter is an opaque nested object pointing at an external URL and which has no output schema, the description needed to explain what input to supply and what the analysis returns. It explains neither, leaving the agent to follow a link it cannot browse.

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?

There is a single nested `input` object with nominal 100% schema coverage, but the schema description only points to an external URL rather than explaining fields. Per the high-coverage baseline this lands at 3, though the description contributes nothing — it never says whether input should be module names, a go.mod file, or a repo URL.

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 a specific verb (Analyze) and resource (Go modules) plus three concrete analysis dimensions: license compliance, security advisories, and risk assessment. The Go ecosystem scope implicitly distinguishes it from the npm/PyPI/crates/RubyGems/Packagist/NuGet siblings, though no sibling is named explicitly.

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?

'for due diligence on GitHub' hints at the intended context, but there is no statement of when to pick this over the other package-intelligence tools, no prerequisites, and no exclusions. An agent can infer usage but must guess at the boundaries.

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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