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

No annotations are provided, so the description carries the behavioral burden. 'Get' clearly signals a read operation, and the returned content is stated. However, the description does not explicitly mention that it is read-only, that it returns only aggregate summaries, or any side-effect expectations.

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 sentence that front-loads the action and resource, then gives a compact, useful list of the statistics returned. There is no filler, repetition, or unnecessary detail.

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 simple stats tool with one optional parameter and no output schema, the description covers the essential information: what kind of data the agent will receive. It could be more explicit about the lack of raw-record returns or the output format, but the enumerated aggregate fields largely make the intent clear.

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 schema has only one optional parameter, agent_id, and its description ('Your agent identifier (claude, grok, gpt, perplexity)') provides 100% coverage. The description adds no parameter-specific meaning, so the baseline of 3 is appropriate because the schema already fully documents the parameter.

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 a specific verb ('Get') and a specific resource ('database statistics'), then enumerates the exact aggregate contents: total vehicles, dealers, coverage by state, and top makes. This clearly distinguishes it from record-level siblings like cars_vehicle and cars_dealers.

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?

No explicit when-to-use or exclusion guidance is given, but the phrase 'database statistics' and the enumerated aggregates imply this is for high-level summary data rather than individual records or dealer lists. It does not name alternatives or specify conditions for choosing this tool over siblings.

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