dataset_shape

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

The description provides no behavioral details beyond the return values. It does not say whether the operation is read-only, how errors are handled (e.g., missing file), or any performance implications. With no annotations provided, the description carries the full burden of transparency but fails to address these aspects.

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 a single, clear sentence with no unnecessary words. It is front-loaded with the core functionality and is appropriately sized for a tool of this simplicity.

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?

For a tool that simply returns row/column counts and has an output schema, the description covers the essential purpose. The main gap is the lack of usage guidance, but the simplicity of the tool and the presence of an output schema reduce the need for extensive explanation. It is complete enough for an agent to understand the tool's role.

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 description adds some context by specifying that the dataset is a CSV, implying the 'path' parameter points to a CSV file. However, it does not explain the expected format of the path (local, URL, etc.) or provide examples. Since schema description coverage is 0%, the description partially compensates but remains minimal.

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's purpose: returning the number of rows and columns for a CSV dataset. The verb 'Returns' paired with the resource 'CSV dataset' makes it distinct from sibling tools like dataset_statistical_summary or get_dataset_overview, which imply more comprehensive analyses.

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?

No guidance is provided on when to use this tool versus its siblings. There is no mention of alternatives, exclusions, or prerequisites. While the name 'dataset_shape' implies its use for dimensions, the description lacks explicit context to help an agent choose it over related tools.

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