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 source (Lorem Picsum Free API), update frequency (monthly), and details about the return format (Katzilla envelope with quality scores, citation, and SHA-256 hash). This enhances transparency 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 front-loaded with the core purpose in the first sentence, followed by essential details (source, updates, return format). Every sentence adds value—none are redundant or wasteful—making it efficiently structured 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 (2 parameters, no nested objects), rich annotations (covering safety and behavior), and the presence of an output schema (implied by the description of return format), the description is complete. It covers purpose, source, update frequency, and return structure, leaving no significant gaps for the agent.

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 clear documentation for both parameters (page and limit). The description does not add any additional meaning or details about the parameters beyond what the schema provides, such as default values or usage context. Thus, it meets the baseline for high schema coverage.

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 explicitly states the verb ('List') and resource ('placeholder images from Lorem Picsum'), making the purpose specific. It distinguishes from siblings by specifying the data source (Lorem Picsum) and return format (Katzilla envelope), which none of the other tools mention, ensuring clear differentiation.

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 usage for fetching placeholder images from a specific API (Lorem Picsum) and notes the update frequency (monthly), but it does not provide explicit guidance on when to use this tool versus alternatives (e.g., other image or data tools in the sibling list). No exclusions or direct comparisons are mentioned.

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