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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds one meaningful behavioral caveat, that the guidance is untested rather than measured, which tells the agent to treat the output as unvalidated. It stops there, adding no detail on source, freshness, or coverage.

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 short sentence that gets the main claim up front. It wastes little space, though the trailing clause about "measured outputs" is the vaguest part and slightly muddies the front-loaded message.

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?

With no output schema, 0% parameter coverage, and no usage context, the description leaves too much unspecified for a tool that takes a required model argument. An agent lacks what it needs to know what inputs are valid or what the returned guidance will look like.

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 description coverage is 0% for two parameters, one of which (model) is required, so the description must compensate and does not. Neither "task" nor "model" is mentioned, and their accepted values or formats are entirely undocumented.

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 pairs a verb ("Get") with a resource ("prompting guidance"), so the general purpose is discernible. However, "untested" is left undefined and the contrast with "measured outputs" is ambiguous, so an agent cannot tell exactly what kind of content it will receive. It also does nothing to distinguish the tool from the model-oriented siblings like best_model_for or compare_models.

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?

There is no when-to-use guidance and no alternative tool is named. The phrase "clearly distinguished from measured outputs" hints at a use case (unverified advice vs. empirical results) but never states when an agent should call this instead of another tool.

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