ro_dp_list_topics

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

No annotations are present, so the description carries the full burden. It discloses output scope (all topics, Romanian/English names) and the relevance of IDs, but does not describe response structure, format, or limits. Acceptable for a simple non-destructive listing operation.

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?

Two tight sentences with no redundancy. The action is front-loaded, and the downstream usage is stated in the second sentence. Every word earns its place.

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?

Given zero parameters and no output schema, the description still tells an agent what the tool returns (topics in two languages) and why to call it. It does not spell out the exact item schema, but that is not essential for correct selection and invocation here.

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?

There are zero parameters, so schema coverage is complete by default. The description adds useful context by indicating that topic IDs are the key output used downstream, which is valuable for correct use.

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?

Description uses specific verb 'List' and resource 'all covered data protection topics', and adds detail about Romanian and English names. This clearly differentiates it from sibling decision/guideline search tools.

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?

Second sentence gives a concrete use case: obtaining topic IDs to filter decisions and guidelines. It doesn't explicitly name alternative tools, but the context clearly marks it as a lookup/reference tool for the other operations.

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