dataset

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

The description discloses one behavioral trait: 'get is summary-first; set includeDefinition=true to include full JSON definition.' However, it provides no information about side effects of create/update/delete, permissions, or other operational nuances. With no annotations provided, the description carries the full burden and falls short, especially since the schema lists 0 parameters while the description references a non-existent includeDefinition parameter.

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, consisting of two sentences that front-load the operation list and then provide a key detail. Every phrase serves a purpose, with no redundancy or filler.

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 supports 8+ operations, yet the description only lists them and gives a note about get. With no output schema, no annotations, and no formal parameter definitions, the description is incomplete for an agent to understand return values, error cases, preconditions, or operation-specific nuances. The lone behavioral hint is not enough for such a complex tool.

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 input schema is empty (0 parameters), so the baseline is 4. The description adds meaningful parameter-related context by mentioning 'includeDefinition' for the get operation, which is not present in the schema. However, it does not describe parameters for other operations, limiting the added value slightly.

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 handles datasets and enumerates operations (list/get/schema/preview/metadata/download/create/update/delete), distinguishing it from sibling tools like project, recipe, or job. The resource is specific, but the purpose is broad rather than a single verb, so it stops short of the highest clarity.

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 explicit usage guidance is provided. There are no instructions on when to use this tool versus alternatives, no exclusions, and no mention of prerequisites. Usage is only implied by the resource name 'dataset', which is insufficient for a multi-operation tool.

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