MCP Analytics

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

Without annotations, the description carries the full burden. It adds valuable behavioral context ('single-use' and 'securely') but omits critical details like token expiration time, whether previous tokens are invalidated, rate limits, or what the tool returns (URL, token string, etc.).

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 single-sentence description is efficiently structured with the action ('Generate') front-loaded, contains zero redundant words, and appropriately sized for the tool's simplicity.

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 low complexity (single parameter) and high schema coverage, the description adequately covers the core purpose. However, it lacks explanation of the return value since no output schema exists, which is a notable gap for a download-oriented tool.

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?

With 100% schema description coverage, the baseline is 3. The description does not mention the uuid parameter or provide context about where to obtain it (e.g., from datasets_list), but the schema itself fully documents the parameter.

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 generates a 'single-use download token' for datasets, using specific verbs and distinguishing itself from sibling tools like datasets_read or datasets_list by emphasizing the token-generation aspect rather than direct data access or metadata retrieval.

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 no guidance on when to select this tool versus siblings (e.g., datasets_read for metadata vs. datasets_download for file access) or prerequisites (e.g., obtaining the UUID from datasets_list first).

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