Overview Time Series

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

Annotations already communicate that the operation is read-only, idempotent, and non-destructive. The description adds that it returns arrays of data points, which is useful but does not explain output structure or default behavior such as date-range fallbacks. It does not contradict the 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 short, front-loaded with the verb and resource, and has no filler. The parenthetical bucket list is somewhat redundant with the schema and omits valid enum values, which slightly reduces its value, but overall it is concise and readable.

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?

The tool has eight parameters and no output schema, yet the description only vaguely says it returns 'arrays of data points.' It does not clarify what each data point contains, how date parameters combine, or how this differs from sibling timeseries tools. The rich schema mitigates this, but the description alone is only minimally 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?

Schema description coverage is 100%, so the schema fully documents parameters and enums. The description adds no substantive parameter meaning beyond naming a few bucket options, and it omits several valid bucket values like five_minutes and year. This meets the baseline for fully documented schema parameters.

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 verb and resource: get overview metrics as time-series data. The time-series qualifier distinguishes it from the non-timeseries sibling rybbit_get_overview, and 'overview metrics' separates it from event-specific or performance-specific timeseries siblings. The intent is immediately 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 phrase 'for charting trends' implies the main use case, but the description does not explicitly say when to choose this tool over alternatives like rybbit_get_overview or rybbit_get_event_timeseries. No when-not-to-use guidance or exclusions are provided.

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