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

Annotations already cover safety properties (readOnly=false, destructive=false, idempotent=false). The description adds useful behavior beyond annotations: duplicate name refusal, returned suite id, and optional categorization. It could say more about error handling but is solid.

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?

Front-loaded purpose, followed by prerequisite, optional fields, return value, and a key constraint. It is compact and every sentence adds useful information.

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 no output schema, the description explains the return value, the duplicate-name refusal, and the prerequisite relationship. It provides enough context to call the tool correctly without needing extra documentation.

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%, so the parameters are fully documented in the schema. The description only restates that description and category are optional and that category is free-text, adding little beyond schema baseline.

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?

States a specific verb and resource ("Create a test suite") and immediately clarifies its role as the container for test cases, distinguishing it from related tools like create_test_case and 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?

Explicitly says when to use it: when a project has no suites and create_test_case needs a suiteId. It names list_test_suites as the way to check and makes the prerequisite relationship clear.

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