get_all_cubes_list

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

No annotations are present, so the description carries full weight. It discloses critical behavioral traits: SSL is disabled (a security-relevant warning), results are paginated, and the final response must cite the ProductId and Title. This is exemplary transparency for a listing tool.

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 description is well-structured and front-loaded: it states the core purpose first, then adds endpoint mapping, behavioral notes, pagination, alternative, and a final citation requirement. Every sentence contributes new information without redundancy. It is compact yet complete.

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?

Despite the lack of annotations and output schema, the description covers all essential operational aspects: what the tool returns, pagination with defaults, the SSL warning, the preferred alternative, and citation requirements. For a list endpoint with only two parameters, this is remarkably complete.

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 fully documents both parameters (limit and offset) with defaults and descriptions. The description only reiterates the pagination pattern already captured in the schema, adding no new semantic meaning. Baseline 3 is appropriate because the schema handles parameter semantics completely.

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 clearly states the tool provides a complete inventory of data tables with dimension-level details, and it explicitly distinguishes itself from the sibling search_cubes_by_title by positioning itself as the broad-list alternative. The specific verb 'provides' and resource 'data tables' make the purpose unambiguous.

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 gives clear usage context: it is for browsing the full inventory, with pagination instructions. It explicitly says to prefer search_cubes_by_title when looking for a specific cube, providing an alternative. This exceeds the minimum and fully clarifies when to use the tool.

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