IT Tools MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the transformation action ('convert') but doesn't describe behavioral traits like whether the conversion is case-sensitive, handles special characters, preserves whitespace, or what happens with empty input. For a transformation tool with zero annotation coverage, this is a significant gap.

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, efficient sentence with zero waste. It's appropriately sized for a simple transformation tool and front-loads the core purpose immediately. Every word earns its place.

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 the tool's low complexity (single input, no output schema, no annotations), the description is minimally complete. It states what the tool does but lacks behavioral details and usage context. For a simple text conversion tool, this might be adequate, but it doesn't provide enough guidance for optimal agent use.

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 100%, with the single parameter 'text' documented as 'Text to convert to snake_case'. The description adds no additional parameter semantics beyond what the schema provides. With high schema coverage, the baseline is 3, as the schema does the heavy lifting.

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 'Convert text to snake_case' clearly states the specific verb ('convert') and resource ('text'), and it distinguishes this tool from sibling text conversion tools like convert_text_to_camelcase, convert_text_to_kebabcase, etc. The purpose is unambiguous and differentiated.

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. It doesn't mention sibling tools like convert_text_to_camelcase or convert_text_to_kebabcase, nor does it explain what snake_case is or when it's appropriate. The agent must infer usage from the tool name alone.

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