Analyze a descriptive series

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

With no annotations provided, the description bears the full burden of disclosing side effects, output shape, pagination, or read-only behavior. It adds only the word 'deterministic' as a behavioral trait and mentions nothing about how results are returned or whether this is a read-only operation. This is a significant gap for a tool with no annotation coverage.

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 two sentences with no filler, front-loading the primary purpose and then giving a key prerequisite. It is appropriately compact, though the brevity comes at the cost of needed 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?

Given the tool's complexity (13 parameters, 4 required, no annotations, no output schema), the description is far from complete. The schema provides enums for analysis and resolution, which helps, but the description fails to explain how to choose a dataset, what metrics mean, how filters work, or what the output contains. An agent would still be guessing for a correct invocation.

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 0%, and there are 13 parameters, so the description must compensate by explaining required and key optional parameters. It does not define 'dataset,' 'metrics,' 'analysis,' 'window,' 'compareMetric,' or 'resolution,' nor explain how they relate to the listed analyses. The description merely restates the general analysis categories without mapping them to schema fields.

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 names a specific action ('Run deterministic rolling statistics, baselines, correlations, seasonal comparisons, or trends') on a specific resource ('a cataloged series'), giving a clear sense of what the tool does. However, it does not explicitly distinguish itself from siblings like read_series, aggregate_data, describe_data, or fit_series_model, so it stops short of a 5.

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 only guidance is 'Requires athleteId from list_athletes,' which tells the agent a prerequisite but not when to prefer this tool over alternatives like read_series or describe_dataset. No explicit when-to-use, when-not-to-use, or comparison with sibling tools is provided.

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