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

With no annotations, the description carries the full burden of behavioral disclosure. It usefully explains the distance metric variants (`distanceKm` vs `distanceAllKm`) and notes that each point is sourced. However, it does not disclose behavior such as the default when no operator is provided, what the full time-series response looks like, or update/freshness semantics.

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 compact and front-loaded, immediately stating the tool's purpose and key metrics. Each sentence adds value: the first defines scope, the second clarifies important distance semantics, and the third explains filtering. No filler or repetition.

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 description covers the main output aspects and parameter semantics, but with no output schema and no annotations, it leaves some operational gaps. An agent may not know what happens when no operator is supplied, whether multiple operators are returned, or the exact structure of the time-series data. It is adequate but not fully complete for a tool with no structured behavioral metadata.

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%, so a baseline of 3 applies. The description goes beyond the schema by clarifying the meaning of the `distance` metric, distinguishing paid robotaxi distance from broader autonomy distance, and explaining that filtering is by operator slug or metric name. This adds meaningful semantic context to the 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 clearly identifies the tool as a robotaxi operations time-series tracker covering distance, fleet size, coverage area, and city count. It also distinguishes itself from the sibling tools by focusing on comparable operational metrics rather than company profiles, news, milestones, or search.

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 provides clear usage context: it is for comparable robotaxi operations time series and can be filtered by operator slug or metric name. It does not explicitly exclude alternatives, but the framing is specific enough for an agent to know when to select this tool.

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