get_location_statistics

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

No annotations are present, so the description carries full behavioral disclosure. It offers one behavioral trait ('live') but does not explicitly state whether the operation is read-only, whether results are cached, or what response format to expect. For a zero-parameter stats endpoint, this is modest but not comprehensive disclosure.

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 sentence that leads with the action and object, then adds concrete examples in parentheses. Every word earns its place; no filler or repetition of schema data.

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?

For a zero-parameter endpoint with no output schema, the description covers the key expectations by naming the statistics categories. The trailing 'etc.' leaves the full return shape unspecified, but the core use is clear given the tool's simplicity.

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 tool takes zero parameters, so there are no parameter semantics to document; the empty schema makes this unambiguous. The description adds no parameter-level information because none is needed, aligning with the 0-params baseline of 4.

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?

States a specific verb ('Get') and resource ('live statistics about the Location Lookup service'), with concrete examples (total boundaries, states, divisions). This clearly distinguishes it from geocoding siblings like geocode and reverse_geocode, and from get_usage/get_health which cover different concerns.

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 when to use the tool by specifying the subject matter (service statistics), but it does not explicitly contrast it with get_usage or get_health, nor state when not to use it. An agent can infer the purpose but gets no explicit routing among similar administrative endpoints.

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