IT Tools MCP Server

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

Annotations provide readOnlyHint=false, indicating this is not a read-only operation, which aligns with the conversion action. The description adds no behavioral context beyond what annotations already cover - no information about error handling, performance, or side effects. With annotations present, the bar is lower, but the description doesn't add meaningful behavioral details.

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 perfectly concise at just 4 words. It's front-loaded with the essential information and contains zero wasted words. Every element of the description earns its place by clearly communicating the core functionality.

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 conversion tool with 100% schema coverage and annotations, the description is minimally adequate. However, it lacks information about the output format details, error conditions, or any constraints on the TOML input. Without an output schema, the description should ideally mention what kind of JSON structure is produced, but it doesn't.

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 'toml' clearly documented as 'TOML string to convert'. The description doesn't add any parameter semantics beyond what the schema already provides. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no additional parameter information in the description.

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 verb 'convert' and the resource 'TOML to JSON format', making the purpose immediately understandable. It distinguishes from sibling tools like 'convert_json_to_toml' by specifying the opposite direction. However, it doesn't explicitly mention the input/output formats beyond the name, keeping it from a perfect score.

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. There's no mention of prerequisites, error conditions, or comparison to similar sibling tools like 'convert_json_to_toml' or 'format_json'. The agent must infer usage solely from the tool name and description.

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