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

With no annotations, the description carries the behavioral burden and does well: it discloses that requests are catalogued, no identifying information is stored, no payment is required, and repeated requests influence what gets built. It does not detail the exact response format, but the expected result is stated.

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 compact: three sentences, front-loaded with the key 'FREE, no payment' signal, and every sentence contributes either a usage cue, a behavioral disclosure, or a privacy guarantee.

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 one-parameter tool with no output schema, the description explains the input, the process, the likely output, and side effects such as cataloguing and privacy. It is complete enough for an agent to call it correctly, though it could say a bit more about response details.

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 already covers the single parameter, and the description adds meaningful guidance: the request should be in your own words and can be about anything, not just feeds. This clarifies the free-form nature beyond the schema's 'What you are looking for.'

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 names a specific action (submit a free-text data request) and a clear result (whether the service supplies it, with the MCP endpoint if so). It also distinguishes itself from feed-focused siblings by explicitly saying 'anything, not just feeds.'

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 implies when to use it: when you have a data need and want to know whether the service can supply it. It gives clear context but does not explicitly name alternatives or state when not to use it.

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