gdpr_offshore_gap_report

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

Annotations already declare readOnly/idempotent/non-destructive, so the description is free to add real value — and it does: 'Only a JSON true satisfies a check; anything else is reported as a gap or to_verify' discloses the evaluation logic, and the closing sentence warns that a gap-free report is not a compliance finding. That is meaningful behavioral context an agent could not get from the annotations.

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?

The purpose is front-loaded in the first clause and every following sentence adds a distinct fact (input format pointer, check semantics, lang values, legal disclaimer). Slight cost: the bare URL and the trailing disclaimer take space an agent may not need at call time.

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?

An output schema exists, so return values need not be explained, and the description covers purpose, check semantics, language, and the important caveat that absence of a gap is not compliance. The one real gap is that the required 'answers' object's shape lives only behind an external link rather than in the definition.

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%, so the description must carry the load. It partially does: it supplies the enum values for 'lang' that the schema omits ('en' or 'fr') and explains what answer values mean (only JSON true satisfies a check). However, the structure of the required 'answers' object is delegated entirely to an external GitHub URL, which gives no in-band guidance if the agent cannot fetch it.

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 a specific deliverable (GDPR gap report) and scopes it precisely to customer-service processing outsourced outside the EU/EEA, which is enough to separate it from all three siblings (lead scoring, telemarketing consent, model selection). It never explicitly names a sibling as the alternative, so it stops short of a 5.

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?

The domain scoping ('customer-service processing outsourced outside the EU/EEA') implies when the tool applies, but there is no explicit when-to-use/when-not statement, no prerequisites, and no comparison to the sibling tools. The usage context is inferable rather than stated.

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