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ClevSec EU compliance tools

Cookie consent fix plan (ClevSec Pro)

cookie_consent_fix_plan
Read-onlyIdempotent

Use after cookie_consent_check when the user wants to fix their cookie consent. Returns every open item with the fix, its legal source (ePrivacy, GDPR, CJEU Planet49, EDPB) and a 30/60/90-day roadmap. Requires ClevSec Pro.

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": {
      "answers": "<answers>"
    },
    "name": "cookie_consent_fix_plan"
  }
}

Input Schema

NameRequiredDescriptionDefault
answersYesItem id to answer, e.g. {"c1": "yes", "c3": "partial"}. Unanswered items count as gaps.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare the safe read-only, idempotent, closed-world profile, so the bar is lower. The description adds real value beyond them: the gated 'Requires ClevSec Pro' constraint and the shape of the output (open items, legal citations, 30/60/90-day roadmap). It stops short of detailing pagination or how partial answers affect the roadmap, so a 4 rather than 5.

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 sentences: the first front-loads usage and prerequisite, the second details the return payload and licensing constraint. Every clause earns its place with no redundancy.

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?

With no output schema, the description carries the burden and does so: it describes what is returned (open items, legal sources, roadmap), states the prerequisite tool, and discloses the Pro licensing requirement. Nothing an agent needs to call it correctly is missing.

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% and the nested 'answers' object (including the 'unanswered items count as gaps' rule and the yes/partial/no enum) is fully documented in the schema. The description does not mention parameters at all, so baseline 3 is appropriate.

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?

Names the specific verb and resource (produces a fix plan for cookie-consent issues) and distinguishes itself from its sibling by stating 'Use after cookie_consent_check'. An agent can tell what it produces and how it differs from the check tool 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 Guidelines5/5

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

Explicitly gives the triggering condition ('when the user wants to fix their cookie consent') and the sequencing prerequisite ('Use after cookie_consent_check'). Nothing about when to invoke it is left to inference.

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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