getAnalyticsReasonsSeries

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

No annotations are provided, and the description does not disclose behavioral traits such as data aggregation method, time granularity, rate limits, or pagination. While an output schema exists, the description adds no extra behavioral context beyond the basic retrieve action.

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?

A single, front-loaded sentence with no unnecessary words. It efficiently conveys the core purpose without wasted space.

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 existence of an output schema, the description does not need to explain return values. However, it could be more complete by mentioning what 'reasons' encompass, but it remains fairly adequate for a charting-focused 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?

Schema coverage is 100% with descriptions for all three parameters. The description adds context by mentioning 'blocked queries', but it does not significantly enrich the parameter meaning beyond what the schema already provides, yielding a baseline score.

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 verb ('Retrieves'), resource ('time-series statistics about why queries were blocked'), and context ('for charting'). It effectively distinguishes from non-series sibling 'getAnalyticsReasons' and other series tools with different metrics.

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 time-series analytics on blocked queries but provides no explicit guidance on when to choose this tool over alternatives like 'getAnalyticsReasons' or other series tools. Given many sibling tools, more context would help.

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