prepare_cases_from_text

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 discloses that the tool returns the spec, house-style anchors, target section, and an instructions block. It explains house-style matching and targeting modes. It does not mention any destructive actions or side effects, but as a fetch/prepare tool, this is acceptable.

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 well-structured with clear sections and bullet-like formatting. It is front-loaded with the main purpose. Slightly verbose, but every sentence adds value. Could be more concise, but still effective.

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 9 parameters, no output schema, and no annotations, the description provides substantial context. It explains the return content, the MCP-native pattern, targeting modes, house-style matching, and how to override defaults. It is fairly complete for a preparation tool.

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 description coverage is 0%, so the description must compensate. It adds significant meaning beyond the schema by explaining the purpose of section_id vs section_hierarchy, house_style, house_style_section_id, and the defaults. It also explains how the house_style_examples parameter works.

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 it fetches inputs for generating TestRail cases from a free-form spec, distinguishing it from siblings like prepare_cases_from_confluence and prepare_cases_from_jira. The verb 'Fetch' and resource 'inputs needed to generate TestRail cases' are specific and unambiguous.

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 explains when to use the tool (to get inputs for case generation) and details targeting modes and house-style matching. It provides context on how to use it, but does not explicitly list when not to use it or contrast with all sibling tools. However, the guidance is sufficient for an agent to decide.

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