get_generation_codes

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

With no annotations, the description should disclose behavioral traits such as read-only/no side effects and return shape. It describes content but does not explicitly state that this is a safe lookup or how the result is structured, relying on the `get_` name and output schema.

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?

One concise sentence that leads with the primary resource, adds the use-case parenthetical, and mentions scoring profiles with no wasted words.

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 tool with an output schema, this is mostly sufficient, but the 'scoring profiles' item is unexplained and the no-parameter behavior (returning all supported labels) is only implicit. An agent may need to infer how this reference data connects to scoring tools.

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?

There are zero parameters, so the baseline is 4. The description adds no parameter-specific detail, but none is needed because the schema is empty and the tool requires no input.

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 identifies a specific resource: generation/chassis labels per make/model and scoring profiles. It mentions the intended use for the generation filter, which helps distinguish this reference lookup from search/analysis siblings, though it lacks an explicit verb in the description.

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?

It clearly ties the labels to the `generation` filter, implying use before search_cars or similar tools needing valid filter values. However, it gives no guidance on when to use the scoring profiles or any exclusions/alternatives, so usage guidance is partial.

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