lu_dp_list_topics

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description indicates the tool returns a listing of topics with bilingual names, which addresses the read-only nature implicitly. However, it doesn't disclose potential pagination, ordering, or whether the full list is always returned—though with 0 parameters, it's likely a complete static list. Acceptable but minimal transparency.

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 efficient sentences, zero waste. The first states the core purpose and output format, and the second gives a practical hint about downstream usage (filtering by topic IDs). Well-structured and appropriately sized.

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 this is a zero-parameter list tool with no output schema, the description is reasonably complete. It explains what is returned (topics with both French and English names) and suggests a downstream use case. There's no output schema, so the description somewhat compensates by noting the bilingual names. Adequate coverage for a simple listing tool.

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 tool has zero parameters, so there is nothing to document. Per the rubric, 0 params yields a baseline of 4. The description correctly notes the output format (bilingual names), which adds value beyond the empty schema.

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 uses a clear verb+resource pattern: 'List all covered data protection topics.' This is specific and unambiguous. While it doesn't explicitly contrast with siblings, the purpose is distinct from search/get operations among siblings, and the mention of bilingual names sharpens clarity.

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 description states a clear use case: 'Use topic IDs to filter decisions and guidelines.' This implicitly tells the agent when to call this tool (i.e., likely as a prerequisite before using search/filter functions). However, it doesn't explicitly name alternatives or state when not to use it. The guidance is helpful but not fully explicit.

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