x402-eu-data-check
Eu Data Check: GDPR, EU AI Act, DMA, DSA quick assessment. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Eu Data Check: GDPR, EU AI Act, DMA, DSA quick assessment. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Changes observed during successful MCP inspections.
Input schema / properties / input / descriptionRemoved value: -"Input to process"Input schema / properties / text / descriptionRemoved value: -"Text to process"Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden. It discloses the pricing/trial model ('5 free trial calls per signed wallet'), which is genuinely useful, but says nothing about what the assessment returns, whether it requires a signed wallet header, latency, or how findings are structured.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Very short and front-loaded, which is good, but roughly half the content is promotional/pricing text with an emoji rather than invocation-relevant information, while the substantive gaps (params, output) go unaddressed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and two completely undocumented parameters, the definition is under-specified. An agent could not reliably construct a call or predict the response from this description alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and the description adds no meaning at all for the two parameters. Worse, the schema offers both 'text' and 'input' as untyped strings with no differentiation and neither is required, leaving an agent unable to know which to populate or whether both are accepted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names the regulations covered (GDPR, EU AI Act, DMA, DSA) and describes the action as a 'quick assessment', which is more specific than a bare name restatement. However, 'assessment' is vague about what is actually assessed and what form the result takes, and the text/input parameters give no hint whether it checks a document, a product description, or a policy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use guidance, no exclusions, no alternatives named among the many siblings (e.g. x402-eu-brief, x402-legal-adjacent tools). The only usage detail is the free-trial quota, which is billing information rather than invocation guidance.
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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