rybbit_get_overview_timeseries

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

No annotations are provided, so the description must carry the full burden of disclosing behavior. It only states what the tool does ('Get time-series analytics data') without explaining return formats, defaults, required auth, or limitations. This is minimal for a read operation, but not contradictory.

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 a single, front-loaded sentence with no filler. Every word adds meaning, and it avoids repeating schema details.

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?

Despite having 8 parameters and no output schema, the description provides only a high-level purpose. It doesn't describe what data is returned, how time ranges interact, or what filters do, leaving the agent with incomplete information for tool selection and 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?

The input schema has 100% descriptive coverage for all 8 parameters, so the baseline is 3. The description's reference to 'configurable time buckets' adds context to the bucket parameter but doesn't enrich the other parameters. This is adequate but not exceptional.

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 uses the verb 'Get' with a specific resource ('time-series analytics data') and adds the differentiator 'broken into configurable time buckets for trend analysis.' It clearly separates this from non-timeseries tools like rybbit_get_overview, though it doesn't explicitly differentiate from other timeseries siblings such as rybbit_get_performance_timeseries.

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 a use case ('for trend analysis') but provides no explicit when-to-use or alternative guidance. With many sibling tools like rybbit_get_performance_timeseries and rybbit_get_error_timeseries, the agent gets no help choosing among them.

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