Katzilla MCP

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

Annotations already cover key behavioral traits (readOnlyHint: true, destructiveHint: false, idempotentHint: true, openWorldHint: true), so the description adds valuable context beyond this. It discloses the data source (NASA Image and Video Library, Public Domain), update frequency ('updates daily'), and details about the return format (Katzilla envelope with quality scores and citation info), enhancing 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 appropriately sized and front-loaded, with the core purpose stated first. Every sentence adds value: the first defines the action and scope, the second provides source and update info, and the third explains the return format. There is no wasted text, making it efficient and well-structured.

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 complexity (search with parameters), rich annotations (covering safety and behavior), and the presence of an output schema (implied by the description of return values), the description is complete. It covers purpose, source, update frequency, and return format, leaving no significant gaps for the agent to understand and use the tool effectively.

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%, so the schema fully documents the parameters (query, mediaType, limit). The description does not add any additional meaning or syntax details beyond what the schema provides, such as examples of query formats or mediaType usage. Thus, it meets the baseline for high schema coverage without extra value.

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 tool's purpose with a specific verb ('Search'), resource ('NASA's image, video, and audio library'), and scope ('by keyword'). It distinguishes itself from sibling tools by specifying the data source (NASA Image and Video Library) and the unique return format (Katzilla envelope), making it distinct from other science tools like arXiv or PubMed.

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 for when to use this tool ('Search NASA's image, video, and audio library by keyword') and mentions the source and update frequency ('updates daily'), which helps in decision-making. However, it does not explicitly state when not to use it or name alternatives among sibling tools, such as other NASA-related tools (e.g., NASA APOD or NASA Asteroids), which could have improved guidance.

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