list_test_cases_in_suite

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only adds the API method name and does not disclose return format, pagination, whether it is read-only, or how the 'deep' and 'details' parameters affect behavior. This leaves significant behavioral uncertainty for an agent.

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 a single sentence that is direct and front-loaded with the core action and resource. It is succinct with no wasted words, achieving maximum conciseness while still conveying the essential purpose.

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 lack of annotations and output schema, the description is too terse to be complete. It does not explain the parameters (deep, details), what the return value looks like, or any edge cases. For a tool with three parameters and no structured safety annotations, this level of detail is insufficient for an agent to use it confidently.

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 only 33%, and the description does little to compensate. It implicitly references testSuiteId by saying 'in a test suite' but does not explicitly explain any parameter, though the schema does have descriptions for deep and details. The description adds minimal value beyond the raw parameter names.

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 verb 'List' and the resource 'test cases contained in a test suite', which precisely identifies the tool's function. It also includes the underlying API method (tl.getTestCasesForTestSuite), further clarifying its purpose and distinguishing it 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 implies the tool is for retrieving test cases from a suite, but it does not explicitly state when to use it versus alternatives or any exclusions. Since there is no direct sibling for listing test cases in a suite, the lack of explicit alternatives is acceptable, but the guidance remains implicit rather than stated.

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