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

With no annotations, the description must disclose behavioral traits, but it merely says 'Update a dataset' without explaining whether updates are partial or full, what happens to unspecified fields, or any side effects. This leaves critical behavioral ambiguity unaddressed.

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 short sentence, which is concise in length, but it is under-specified. It does not earn its place because it lacks the necessary detail to be useful, making this a case of under-specification rather than effective 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?

The tool has four parameters, is a mutation operation, and has no output schema or annotations. The description is far too minimal to be complete. It provides no context on return values, error conditions, or operational semantics, making it inadequate for effective use.

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 0% description coverage, and the description adds no meaning to the parameters. The property names (id, name, csv_data, tag_names) are self-evident to some degree, but the description does not clarify their roles or interactions, so it fails to compensate for the schema gap.

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 updates a dataset, with a specific verb and resource. It is distinct from sibling tools like datasets_create, datasets_delete, etc., but lacks any scope or detail on what aspects can be updated, so it falls short of a 5.

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?

There is no guidance on when to use this tool versus alternatives. No mention of prerequisites, context, or exclusions. The description provides no actionable usage direction.

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