Katzilla MCP

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

Annotations already indicate read-only, non-destructive, idempotent, and open-world behavior. The description adds valuable context beyond this: it specifies the API source (TechnikNews), its free nature, daily update schedule, and details about the return structure (Katzilla envelope with quality scores and citation data). This enriches the agent's understanding without contradicting annotations.

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 efficiently structured in two sentences: the first states the purpose and source, and the second explains the return format and its components. Every sentence adds essential information without redundancy, making it front-loaded and appropriately sized for the tool's complexity.

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 low complexity (one optional parameter), comprehensive annotations (read-only, non-destructive, etc.), and the presence of an output schema, the description is complete. It covers the source, update frequency, and return structure, which are crucial for an agent to use the tool effectively without needing to explain basic behaviors already encoded in structured data.

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 input schema has 100% description coverage, with the 'ip' parameter clearly documented. The description does not add any further details about parameter usage, syntax, or constraints beyond what the schema provides. Given the high schema coverage, a baseline score of 3 is appropriate, as the description does not compensate but also does not detract.

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 specific action ('Get IP geolocation data'), resource ('from TechnikNews API'), and scope ('Geography & Geolocation Agent'). It distinguishes itself from sibling tools by specifying the data source (TechnikNews) and the unique return format (Katzilla envelope), making its purpose explicit and differentiated.

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 clear context by naming the source (TechnikNews Free API) and update frequency (daily), which helps determine when to use it. However, it does not explicitly state when not to use it or name alternatives (e.g., other geo tools like geo__ipinfo or geo__geojs), so it lacks full comparative guidance.

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