ryterpro_api_info

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

With no annotations provided, the description carries the full burden. The verb 'Return' suggests a read-only, non-mutating operation, and the tool appears to be a simple info endpoint. However, it does not disclose potential side effects, authentication requirements, or any limitations, leaving gaps for an agent to infer.

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, concise sentence that front-loads the action ('Return') and the object ('Ryter Pro MCP server configuration and documentation links'). Every word earns its place, with no filler or repetition.

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 simplicity—no parameters and an output schema that presumably documents return values—the description is complete enough. It describes the tool's purpose sufficiently without needing to explain configuration details or documentation URLs.

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 tool has zero parameters, and the schema confirms this with an empty properties object. The baseline for no parameters is 4, and the description does not need to add parameter-level detail since there are none.

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 uses the specific verb 'Return' and identifies a clear resource: 'Ryter Pro MCP server configuration and documentation links.' It clearly distinguishes this tool from the sibling 'humanize_text' by stating a completely different function.

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?

There is no explicit guidance on when to use this tool versus alternatives, no mention of when not to use it, and no reference to sibling tools. Usage is only implied by the tool's name and generic description, which is insufficient for clear decision-making.

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