Api crq quantitative risk studies create

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=true, so the mutation profile is covered structurally. The description adds nothing on top: no mention of required permissions, what a study object must contain, whether creation triggers simulation runs, or what is returned. With annotations carrying the full safety load, the description still earns only a 2 because it contributes zero behavioural context.

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 text is one identifier with no sentence structure and nothing front-loaded. This is under-specification rather than conciseness: there is no wasted word, but there is also no information an agent can act on.

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 mutating create endpoint in a complex CRQ domain, with an opaque free-form body, no output schema, and 0% schema coverage, the definition is wholly inadequate. An agent cannot construct a valid call or predict side effects from what is provided.

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% and the single parameter is an untyped 'body' anyOf object with additionalProperties=true, so the schema tells the agent nothing about valid fields. The description does not compensate at all — it never mentions the body, its shape, or any required study attributes such as name, scenario links, currency, or distribution parameters.

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 is the tool slug verbatim ('api_crq_quantitative_risk_studies_create'), a tautology that restates the name and title without adding any explanation. The name does encode a create operation on quantitative risk studies, so an agent can guess the resource, but the description itself contributes nothing and gives no differentiation from the many sibling CRQ endpoints (list, retrieve, update, partial_update, destroy, batch_action).

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, when-not-to-use, or alternative guidance of any kind. With over a thousand sibling tools, including ciso_assistant_api_risk_assessments_convert_to_quantitative_create and ciso_assistant_api_crq_quantitative_risk_studies_update, the description gives the agent no basis for choosing this tool over a near neighbour.

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