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

No annotations are provided, so the description carries the full burden. It discloses that the tool mutates a dataset's name/description, but doesn't state whether fields are overwritten, whether null values clear fields, whether the update is partial or full, or what happens if the dataset doesn't exist. The output schema exists but the description doesn't mention response behavior.

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?

A single, efficient sentence that front-loads the action and scope. It is appropriately sized for a simple update tool, though it could add a sentence on usage without becoming bloated.

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 mutation tool with no annotations, the description is thin. It doesn't explain partial-update semantics, null handling, or error conditions. The output schema exists, so return values are covered, but the behavioral gaps remain significant for an agent deciding how to invoke it.

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 the schema already documents all four parameters. The description adds minimal value by naming 'name and/or description' as the updatable fields, which maps to two of the parameters, but it doesn't clarify the null semantics or the api_key fallback behavior beyond the schema.

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 states a specific verb ('Update') and resource ('dataset'), and identifies the mutable fields ('name and/or description'). It is clear and distinguishes from siblings like create_dataset and delete_dataset, though it doesn't explicitly name them.

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 on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., dataset must exist), nor does it contrast with create_dataset or get_dataset. The context is implied by the name and description only.

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