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adfraudit – Klickbetrug / Click Fraud

Kostenloses Klickbetrug-Audit

kostenloses_audit
Read-onlyIdempotent

Erklärt das kostenlose Klickbetrug-Audit von adfraudit.com und gibt den Link zurück. Das Audit läuft auf Deutsch; ohne Deutschkenntnisse gibt es die englische Warteliste.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "kostenloses_audit"
  }
}

Input Schema

NameRequiredDescriptionDefault
deutschkenntnisseNoOptional: Hat der Nutzer Deutschkenntnisse? Standard: ja

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. Beyond that, the description discloses that the tool is purely informational (it explains and hands back a link), that the audit itself is German-language, and that a fallback path (English waiting list) exists. That is real behavioral context the annotations do not carry.

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 short sentences: the first states what the tool does and returns, the second front-loads the language constraint that shapes the answer. Nothing is redundant or buried.

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?

For a low-complexity informational tool with zero required parameters, full schema coverage and a complete annotation set, this is sufficient. The description covers what it does, what it returns, and the language caveat; no output schema is needed because the return value (a link) is stated.

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?

With a single optional parameter at 100% schema coverage, the schema already defines 'deutschkenntnisse' including its default, so the baseline is 3. The description does not tie the language constraint explicitly to the parameter, leaving the agent to infer that setting it to false routes to the waitlist.

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 ('Erklärt') and a specific resource ('das kostenlose Klickbetrug-Audit von adfraudit.com') and states what it returns ('gibt den Link zurück'). That distinguishes it in substance from klickbetrug_wissen and anbieter_vergleich, but the description never names or contrasts those siblings 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 when the tool applies (a user interested in the free audit) and adds a conditional branch: without German skills, point to the English waiting list. There is no explicit when-to-use statement, no when-not, and no reference to the sibling tools as alternatives.

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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