update_dataset

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

No annotations are present, so the full burden of behavioral disclosure falls on the description. It only says 'Update dataset settings' without explaining idempotency, side effects, required permissions, or what happens on failure. This is insufficient for a mutation tool.

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 short (one sentence), which is concise but omits necessary detail. It is not well-structured for clarity due to the mismatch with the schema.

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 is a mutation operation with no output schema, no annotations, and a description that fails to explain what 'settings' can be updated or how the identifiers are used. Given the complexity of a dataset update, this description is severely incomplete.

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 the two parameters. However, the description implies there are settings to update, but the input schema lacks any setting fields (e.g., description, metadata). This contradiction adds misleading semantics rather than value.

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?

Description states 'Update dataset settings', which is a clear verb-resource pair, but the input schema only contains identifiers (project_key, dataset_name) with no settings fields. This mismatch makes the description misleading regarding what the tool actually updates.

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 sibling tools like create_dataset, delete_dataset, or other dataset operations. There are no usage context, prerequisites, or alternative recommendations.

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