profile_dataset

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

No annotations are present, so the description carries full behavioral disclosure burden. It only states 'Generate comprehensive data profile and statistics', without explaining whether it's a read-only operation, computational cost, or any side effects. This is insufficient for 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?

The description is extremely concise (four words), with no redundant or unnecessary content. However, it is slightly under-specified for a profiling tool; a bit more detail would improve it without losing conciseness.

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 the complexity of profiling (with 4 parameters including correlation and distribution options), the description is too minimal. It does not describe output or behavior, and there is no output schema to compensate. Important context like the nature of statistics generated is missing.

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%, so parameters are well-documented in the schema. The description adds no additional meaning beyond the schema; thus baseline score of 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 'Generate comprehensive data profile and statistics' clearly states a specific verb ('generate') and resource ('data profile and statistics'), distinguishing it from sibling tools like 'get_dataset_info' or 'sample_dataset'. It effectively communicates the tool's purpose.

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 usage guidelines are provided; the description does not indicate when to use this tool vs alternatives like 'get_dataset_info' or 'validate_dataset'. There is no when-to-use or when-not-to-use guidance.

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