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

No annotations are provided, so the description carries the full burden. It states this is a 'quick assessment,' which implies a read-only operation, but it does not explain what the tool returns, how the input is processed, or whether it performs any external lookups or network calls. For a compliance-assessment tool, this is insufficient behavioral disclosure.

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?

One short sentence with no filler. The title-like 'Eu Data Check' is followed immediately by the substantive regulation list. Every word contributes to scoping the tool.

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?

The tool assesses four major regulatory frameworks, which is inherently complex, yet the description provides only a label. There is no output schema, no annotations, and no explanation of the assessment's format or scope. An agent cannot reliably know what to pass as 'input' or what to expect in return, making the definition incomplete.

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?

The input schema has 100% coverage with 'Input to process,' which is fully generic. The description adds that the input concerns EU data regulations, but it still does not clarify whether the input should be company name, legal text, URL, or something else. Per the baseline rule for high schema coverage, a 3 is appropriate.

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?

The description names the resource ('Eu Data Check') and the specific function ('quick assessment' of GDPR, EU AI Act, DMA, DSA). This clearly distinguishes it from generic EU-related siblings like eu-brief or eu-indices by naming exact regulations. The absence of a true verb ('assess' would sharpen it) and the ambiguity of 'quick assessment' prevent a perfect score.

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 guidance is given on when to use this tool rather than the many closely related siblings (e.g., eu-brief, company-check, vat-validate). The description does not mention what type of input is appropriate, what question this tool answers, or when an alternative would be better. With this many sibling tools, this is a significant gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.