alm_checkout_test

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

No annotations exist, so the description must disclose behavioral traits. It mentions the return format but does not explain side effects (e.g., locking, concurrency, what happens if already checked out). Critical behavioral context is missing.

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 extremely concise (4 sentences), front-loads the purpose, and includes a structured Args/Returns section. No 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 simple checkout tool with one parameter and no output schema, the description covers the basic purpose and return. However, it lacks context about the lifecycle (e.g., need to check in later, error handling) and does not leverage sibling tools to clarify usage.

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 0%, and the description adds meaning by explaining the parameter: 'test_id: ALM ID of the test case.' This goes beyond the schema's minimal label. However, it does not specify format or constraints.

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 action ('check out'), the resource ('a test case'), and the purpose ('so its fields and design steps can be edited'). It is specific and distinguishes from sibling tools like 'alm_checkin_test' by implication.

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 provides no guidance on when to use this tool versus alternatives (e.g., when to check out vs. directly edit), no prerequisites, and no conditions for use. It simply states what it does.

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