compare_datasets

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

No annotations are present, so the description carries the full burden. It indicates comparison but does not disclose whether the tool is read-only, has side effects, requires permissions, or any performance implications. The behavioral profile is largely opaque.

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 wasted words. It effectively communicates the core function. However, it could be slightly more informative without becoming verbose.

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?

The description lacks details about output format, return values, or how to interpret results. Given the complexity of comparing datasets and the absence of an output schema, the description is incomplete. Sibling tools like get_dataset_info offer more context.

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 schema has 100% coverage, so the baseline is 3. The description adds no additional meaning beyond what the schema provides for parameters like comparison_type and include_samples. It does not clarify how parameters relate to the comparison process.

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 explicitly states the tool compares two datasets on structure and statistics. It distinguishes from sibling tools like compare_models by specifying datasets. However, it does not elaborate on what 'structure' or 'statistics' encompass specifically.

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 siblings such as profile_dataset or get_dataset_info. There is no mention of prerequisites, alternatives, or when not to use it. The name implies dataset comparison, but explicit direction is lacking.

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