Query Dataset

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

With no annotations, the description carries the burden of behavioral disclosure. It discloses filtering and pagination behavior, but omits details like return format, error handling, authentication needs, or side effects. This is adequate but leaves gaps.

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 concise, using three short sentences to convey purpose, prerequisite, and capabilities. Every sentence earns its place, with no redundancy or fluff.

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 no output schema, and the description does not mention what the response looks like or how to handle errors/empty results. It covers the core usage but leaves out some context that would be helpful for a generic query 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 already describes all four parameters with 100% coverage, so the description adds limited value beyond reaffirming the resource_id source and pagination. The mention of 'filtering by field values' aligns with the filters parameter but does not introduce new semantics.

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 specific action ('Query a specific dataset resource') and the target resource, distinguishing it from sibling tools like datasets_list and datasets_metadata. It also mentions the required resource ID, making the purpose unambiguous.

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?

The description provides explicit usage context by instructing to use datasets_metadata first to obtain resource IDs, and notes the tool supports filtering and pagination. It does not explicitly state when not to use this tool versus alternatives, but the prerequisite guidance is clear.

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