rate_context

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

No annotations are available, so the description needs to disclose side effects and behavioral requirements. It only says 'rate' without saying whether feedback is stored, whether it requires authentication, whether it is one-way, or whether it returns any acknowledgement. This leaves material ambiguity about the tool's effect on the environment.

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 one short, front-loaded sentence that is easy to skim. The phrase 'Feedback loop:' is slightly redundant because 'rate the usefulness' already conveys the loop idea. It could be tightened, but every sentence earns its place and there is no major bloat.

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?

Given the empty schema, no output schema, and no annotations, a very short description can be minimally viable. However, this one does not explain how to invoke feedback, whether a context identifier is needed, or what a successful rating entails. That leaves enough ambiguity that the agent may send wrong or incomplete payloads.

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 declares zero named parameters, and the 0-param baseline is 4. The description contributes by identifying 'usefulness' as the core semantic input. It could still add more detail about what free-form properties are accepted, since additionalProperties is true, but it provides adequate baseline help.

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 states the action ('rate'), the object ('context'), and the specific dimension being assessed ('usefulness'). It scope to 'previously returned context', which separates it from sibling tools that analyze or search or transform code. The core sentence is not a tautology and conveys the tool's unique purpose.

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 explicit when/when-not guidance or named alternatives. However, the phrase 'previously returned context' and 'Feedback loop' imply the tool should be used after context has been fetched and the agent wants to score its quality. The guideline is implied rather than stated.

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