IT Tools MCP Server

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

Annotations indicate readOnlyHint=false, which aligns with the description's implied transformation action. The description adds minimal behavioral context beyond annotations - it specifies word-level rather than sentence-level capitalization, but doesn't mention edge cases (empty strings, punctuation, multi-language support), performance characteristics, or error behavior. With annotations covering the basic safety profile, this earns a baseline score.

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 maximally concise with a single, clear sentence that states exactly what the tool does. Every word earns its place - 'capitalize' specifies the action, 'first letter of each word' defines the transformation scope. No redundant information or unnecessary elaboration is present.

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 text transformation tool with one parameter and good schema coverage, the description is minimally adequate. However, without an output schema, the description doesn't clarify what format the capitalized text returns in (preserved whitespace? handling of special characters?). Given the tool's simplicity and complete parameter documentation, this represents a basic but functional level of completeness.

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' well-described as 'Text to capitalize'. The description adds no additional parameter semantics beyond what the schema provides. It doesn't specify expected input formats, character encoding considerations, or length limitations. Baseline score is appropriate given complete schema documentation.

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 tool's purpose with a specific verb ('capitalize') and target ('first letter of each word'). It distinguishes from sibling text transformation tools like convert_text_to_uppercase or convert_text_to_lowercase by specifying word-level capitalization rather than full-case conversion. However, it doesn't explicitly differentiate from convert_text_to_pascalcase which might have similar behavior.

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. With many sibling text transformation tools (convert_text_to_uppercase, convert_text_to_lowercase, convert_text_to_camelcase, etc.), there's no indication of when word-level capitalization is appropriate versus other text formatting approaches. No context about input requirements or typical use cases is provided.

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