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frontend_security_fetch_package_risk_brief

Read-onlyIdempotent

SHIP/CAUTION/BLOCK risk brief for an npm package with frontend-specific context. Wraps security_fetch_package_risk_brief restricted to npm, and adds weekly_downloads and is_ui_component signals. package_name: npm package name. Required. version: Optional pinned version — latest resolved if omitted. Returns verdict, CVE counts, licence risk, maintainer health, weekly_downloads, is_ui_component. Use security_fetch_package_risk_brief for non-npm ecosystems. Read-only. No side effects. Idempotent. Sources: OSV.dev, deps.dev, npm registry. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="frontend_security_fetch_package_risk_brief", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionNoPackage version e.g. 2.28.0. Optional.
package_nameYesPackage name e.g. requests. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds value by stating 'Read-only. No side effects. Idempotent.' and listing sources (OSV.dev, deps.dev, npm registry). It also explains the wrapping behavior. No contradictions with annotations.

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?

The description is comprehensive but not overly verbose; it front-loads the purpose and provides essential details. It loses a point for being slightly lengthy but remains well-structured and informative.

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

Completeness5/5

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

Given the output schema existence, annotations, and the description covering purpose, parameters, usage guidelines, behavioral traits, sources, and fallback behavior, the description is fully complete. It enables an agent to understand when to use, how to use, and what to expect.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for both parameters. The description adds meaning: package_name is described as 'npm package name. Required.' and version is described as 'Optional pinned version — latest resolved if omitted,' which clarifies behavior beyond the schema's 'Package version e.g. 2.28.0. Optional.'

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 tool's purpose: providing a SHIP/CAUTION/BLOCK risk brief for npm packages with frontend-specific context, differentiating it from the wrapped security_fetch_package_risk_brief. It specifies the added signals (weekly_downloads, is_ui_component) and explicitly mentions it is restricted to npm.

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

Usage Guidelines5/5

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

The description explicitly tells when to use this tool (for npm packages) and when not to ('Use security_fetch_package_risk_brief for non-npm ecosystems'). It also provides a fallback mechanism: calling report_feedback if the response does not serve the user's need.

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

A4.1/5.0
Disambiguation4/5

Tools are grouped into clear domain prefixes (compliance, domain, frontend_security, etc.) with distinct purposes. Minor overlap exists between frontend_security_detect_typosquatting and security_detect_typosquatting, but descriptions clarify the different scope.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern with snake_case. Irregularities like 'fetch' vs 'audit' and two 'detect_typosquatting' tools exist, but overall naming is predictable within domains.

Tool Count3/5

55 tools is high for a single server given the breadth of domains. Some redundancy (e.g., two typosquatting tools) suggests possible trimming, but the count is justified by the wide coverage.

Completeness4/5

The tool surface covers key operations across domains like compliance, domain, security, legal, and nonprofit. Minor gaps exist, such as limited frontend audit beyond package.json and no general-purpose code scanning.

Resources