Api crq quantitative risk hypotheses destroy

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

Annotations already declare destructiveHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is known from structured data. The description adds nothing beyond that: no statement about irreversibility, cascade effects on dependent scenarios/simulations, permission requirements, or what the response contains after deletion.

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?

It is short, but only because nothing is said: a bare snake_case identifier is not a sentence, has no front-loaded purpose statement, and offers no structure an agent can parse. This is under-specification rather than conciseness.

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 destructive mutation with no output schema and an undocumented required id, the description should at minimum state that it permanently removes a CRQ risk hypothesis and what happens to linked simulations or scenarios. None of that is present, so an agent cannot safely call this tool from the definition alone.

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 is a single required parameter ('id') with 0% schema description coverage, and the description does not say what kind of identifier it is, whether it is the hypothesis's numeric PK or a ref_id/URN, or whether it must belong to the caller's domain. The description provides no compensating semantics at all for an entirely undocumented 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 is only the identifier string 'api_crq_quantitative_risk_hypotheses_destroy', which restates the tool name rather than describing the action. An agent can infer 'destroys a CRQ quantitative risk hypothesis' from the name segments, but there is no verb+resource statement, no scope, and no differentiation from the many other *_destroy siblings in this API surface.

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 guidance whatsoever about when to use this tool, when not to, or what alternatives exist. Sibling tools such as crq_quantitative_risk_hypotheses_partial_update, batch_action_create, or the studies/scenarios destroy variants are never referenced, so routing must be guessed from name fragments alone.

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