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@guardbee/mcp-security-proxy

@guardbee/mcp-security-proxy

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compliance_checker__analyze_privacy_policy

Fetch and analyze a privacy policy page against GDPR/KVKK requirements, flag missing disclosures, and surface compliance gaps from a direct URL.

Instructions

Fetch and analyze a privacy policy page for completeness against GDPR/KVKK requirements. Works without an API key.

Input Schema

NameRequiredDescriptionDefault
urlYesDirect URL to the privacy policy page (or homepage to auto-detect)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.5
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Addedv0.1.1

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries full behavioral burden. It usefully discloses that the tool works without an API key (a real auth-related detail), but omits what happens on unreachable/non-policy pages, whether the fetch leaves a trace, or the shape of the analysis output.

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?

Two tight sentences with the action and scope front-loaded and the no-API-key constraint appended. No wasted text.

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?

The tool is a scanner/analyzer with no output schema and no annotations, so the description should hint at what 'analysis' returns (findings, score, missing sections). That gap leaves the agent guessing about output shape and error semantics.

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% with a strong url description that already covers the 'homepage to auto-detect' nuance. The description adds nothing beyond what the schema states, which is the correct baseline when the schema does the work.

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?

States a specific action (fetch and analyze) against a specific resource (privacy policy page) with a specific scope (completeness against GDPR/KVKK). This distinguishes it from the more general check_compliance sibling, though it doesn't name the alternative 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?

The description implies usage (analyze a privacy policy URL for GDPR/KVKK completeness) but gives no explicit when-to-use vs when-not guidance, and doesn't mention the check_compliance/compare_frameworks siblings that a user might confuse it with.

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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