BetaSeries: stats

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

No annotations are provided, so the description carries the burden. It states the HTTP method (GET) and endpoint, and notes the data source (BigQuery aggregated data), which gives some context. However, it doesn't explicitly say whether authentication is required, rate limits, or response structure. For a read-only operation, this is a moderate level of transparency.

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 with a brief introduction followed by a bulleted list of the operation and its parameters. It avoids unnecessary words, though there is a minor typo ('data..'). The length is justified by the parameter detail.

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 single-operation wrapper with no output schema, the description covers the operation's purpose, all parameters, and their semantics. It doesn't describe the response structure, but that's not strictly necessary for selection and invocation. Given the tool's simplicity, this is nearly complete.

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 description meticulously documents all parameters: name, optionality, default values, allowed values, and constraints (e.g., limit max 100). The schema only provides a generic 'params' object, so the description adds essential meaning for every parameter, making it highly informative.

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 identifies the tool as a wrapper for the BetaSeries stats API and names the specific operation (get-stats-shows-ranking) with a one-line summary of what it returns (shows ranking). While it doesn't explicitly distinguish itself from sibling tools, the 'stats' resource is unique among the siblings, so purpose is clear.

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 says to 'Pick an operation and pass its parameters,' which implies the usage pattern, but it doesn't provide when-to-use vs. alternatives or any exclusions. Sibling tools are for other resources, so using this for stats is implied, but not explicitly stated.

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