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Quick consent check (free)

quick_check
Read-only

Free check, no account needed: opens a public website like a first-time visitor and reports whether trackers or third-party requests fire before the visitor consents (GDPR/ePrivacy), with a 0–100 score. Returns only yes/no and the score; the full findings (which trackers, the exact requests, how to fix each one) are available with a connected Bannerproof account (get_findings). Results are cached for up to 7 days. This is an automated technical check, not legal advice.

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": {
      "domain": "<domain>"
    },
    "name": "quick_check"
  }
}

Input Schema

NameRequiredDescriptionDefault
domainYesThe website's domain, e.g. example.com
languageNoLanguage for the fix instructions and report links: en, de, fr, es, it, nl, da, sv, fi, no, et, pl or pt. Normally the language of the conversation. Default en.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Adds substantial context beyond the readOnly/openWorld annotations: results are cached up to 7 days, only yes/no plus score are returned, deeper findings require a connected account, and it is an automated check rather than legal advice. These disclosures directly shape how an agent should interpret and present 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?

Four tight sentences with zero filler; the free/no-account hook and the tracker-before-consent purpose are front-loaded, with limitations and disclaimers following. Every sentence carries distinct information.

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 correctly covers the return values (yes/no and score), the caching behavior, and the escalation path to get_findings. An agent has everything needed to call and interpret the result.

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%, so the domain and language parameters are fully documented in the schema. The description adds no parameter-level detail beyond the implicit notion of checking a website, so the baseline of 3 applies.

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?

States a specific verb and resource: opens a public website as a first-time visitor and reports whether trackers fire before consent, with a 0-100 score. This is clearly distinguishable from get_findings, which it names as the full-detail sibling.

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

Usage Guidelines4/5

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

Explicitly frames the tool as free with no account needed and points to get_findings for the full results, giving clear context for when to use it. It does not, however, route the agent away from similar siblings such as scan_domain or audit_domain, so the alternative comparison is incomplete.

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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