cooltest_init_suite

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

With no annotations, the description carries the transparency burden. It discloses key behavioral details: does not overwrite by default, returns skipped if already exists, and overwrite=true rebuilds. This goes beyond what structured data could convey.

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?

Three sentences, front-loaded with the main purpose, then behavioral details and usage guidance. Every sentence adds unique value 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 description explains the tool's role in the overall flow and its default behavior, which is sufficient for a simple creation tool. However, it omits what a successful return looks like, a minor gap since no output schema is provided.

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%, but the description adds value by clarifying that the 'name' parameter defaults to the source name, a detail not present in the schema. It also restates the overwrite default, reinforcing usage 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?

Description uses a specific verb ('Generate') and resource ('.cooltest JSON') and clearly states the input ('test case source'). It is explicitly positioned as 'first step of the flow', distinguishing it from sibling tools like cooltest_update_case.

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?

Provides explicit usage instructions: 'Call this to create the suite, then append cases with cooltest_update_case.' Also details default vs overwrite behavior, giving clear guidance on when to use and what alternatives exist.

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