add_test_results

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

No annotations are provided, so the description carries the full burden. It only states the add action and repeats status IDs from the schema. It does not disclose whether existing results are overwritten, whether the test run must be in a certain state, or what the function returns on success.

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 with an important status ID mapping appended. It is concise, front-loaded, and every part serves a purpose without wasted words.

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?

For a tool with two parameters and a complete schema, the description is functional. However, it lacks critical context for a write operation: no information about side effects, prerequisites, or response behavior, which makes it incomplete for an agent deciding whether to invoke it.

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 coverage is 100% with detailed descriptions for all parameters, including the status ID mapping. The description adds minimal extra value by mentioning 'multiple test cases' and listing status IDs, but the schema already documents these details.

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 uses a specific verb 'Add' plus resource 'test results' and clarifies scope 'multiple test cases in a test run'. This clearly distinguishes from sibling tools such as get_test_results, which reads results.

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 adding test results, but it does not explicitly state when to use it over alternatives or provide any exclusions. Sibling tools like get_test_results exist for reading, but no comparison is made.

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