IT Tools MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure but only states the basic function without any additional context. It doesn't mention whether the operation is idempotent, if it handles special characters or locales, what happens with empty input, or any error conditions—critical details for a text transformation tool.

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 with just three words, front-loading the essential information without any wasted text. Every word earns its place by directly stating the tool's function, making it efficient and easy to parse.

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 tool with one parameter and no output schema, the description is minimally adequate but incomplete. It lacks behavioral details (like handling of edge cases or locales) and usage guidance relative to siblings, which would help an agent use it correctly in context with other text conversion tools.

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?

The schema description coverage is 100%, with the single parameter 'text' clearly documented in the schema. The description adds no additional parameter information beyond what's already in the schema, so it meets the baseline score of 3 where 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 clearly states the tool's purpose with a specific verb ('convert') and resource ('text'), making it immediately understandable. However, it doesn't differentiate from sibling tools like 'convert_text_to_lowercase' or 'capitalize_text', which would require mentioning the specific transformation (uppercase) to distinguish it from other text conversion options.

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 like 'convert_text_to_lowercase' or 'capitalize_text'. It lacks any context about appropriate use cases, prerequisites, or comparisons to sibling tools, leaving the agent with no usage direction beyond the basic function.

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