bcn_detall_dataset

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

No annotations provided, so description carries the burden. It describes the tool as returning metadata and resource list, which is a read operation. It is transparent about output and its use with another tool. Could add more on error cases, but sufficient for a simple detail 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 two sentences, front-loaded with the main purpose, and no unnecessary words. It is efficient and well-structured.

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?

Tool has output schema, so return values are covered. The description is brief but covers main functionality. Could mention that dataset_name should match results from bcn_cercar_datasets, but the parameter examples already guide this. Minor gap.

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 description coverage is 100% with examples provided in the parameter description. The tool description repeats that the parameter is the dataset name but adds no new meaning beyond what the schema already provides. Baseline 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 clearly states it gets full detail of a Barcelona dataset including resources, and explicitly lists the output (metadata and resource list with resource_id). This distinguishes it from siblings like bcn_cercar_datasets (search) and bcn_obtenir_dades (get data from a resource).

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 explains when to use: to get complete dataset detail and resource IDs. It explicitly links to bcn_obtenir_dades for further data retrieval. Although it doesn't state when not to use, the context from siblings implies alternatives.

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