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

Annotations already declare readOnlyHint=true, and the description is consistent. It adds behavioral details: the list returns names and row counts, and passing dataSetId returns columns and rows, which is beyond the schema. It also discloses the project context requirement, though it does not elaborate on failure modes.

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 two sentences, with the core purpose stated first and additional details following. No redundant wording; it is well-structured and front-loaded.

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?

Given the 4-parameter schema, read-only annotation, and no output schema, the description covers the essential usage modes (list vs. single) and mentions a key prerequisite. It does not spell out error cases for missing IDs, but the schema covers required parameters, so the description is reasonably complete.

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 provides descriptions for all four parameters, so the baseline is 3. The description adds value by explaining the effect of dataSetId (returns columns and rows) and the distinction between list and single retrieval. It does not add new info for skip/take beyond the schema, but overall it enhances understanding.

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 lists data sets of a test suite, defining them as tables for data-driven runs. It also distinguishes the list mode from single-set retrieval via dataSetId, making its purpose specific and distinct from sibling tools like list_test_suites.

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 indicates the tool is used to list data sets within a test suite and mentions a prerequisite ('Requires project context'). However, it does not explicitly compare with alternatives or state when not to use it, leaving some inference to the agent.

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