parse_decision_table

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

No annotations are provided, so the description must fully disclose behavioral traits. It states parsing and generation but does not mention limitations, error handling, or that the operation is non-destructive. The auto-detection of format is implied only through the parameter description, not the tool description.

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 of 16 words, efficiently stating the core function. It is front-loaded with the verb and resource, with no unnecessary words or repetition.

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 no output schema and no annotations, the description is minimally complete for a simple parser. However, it lacks context on the output format and how it integrates with sibling tools, which are all test-related. The 100% schema coverage covers parameters, but the overall tool context is only partially addressed.

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 descriptions for both parameters. The tool description does not add additional meaning beyond what is already in the schema (e.g., the formats listed are already in the enum). Baseline 3 is appropriate.

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 specifies the action ('Parse'), the resource ('decision table from CSV, JSON, or Markdown format'), and the output ('generate test case specifications'). It effectively distinguishes this tool from siblings, none of which mention parsing or decision tables.

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, no prerequisites, and no indication that it is a preparatory step for other tools. Sibling tools like execute_api_test suggest a workflow, but the description does not connect them.

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