Api metrology builtin metric samples create

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false, so the mutating, non-idempotent profile is conveyed structurally. The description contributes nothing about what gets created, required auth, or side effects; it neither adds value nor contradicts the annotations.

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 it is empty – the single identifier token conveys no information. Under-specification rather than conciseness; there is nothing front-loaded to 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?

A create/mutation tool with an unconstrained object body, no annotations explaining payload behavior, and no output schema leaves the agent with nothing to construct a valid call. The description should at minimum indicate the sample payload fields and what the call returns.

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 single 'body' parameter is an untyped free-form object with 0% schema description coverage, and the description provides no information about its shape or fields. An agent has no way to know what payload to send.

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 name verbatim, 'api_metrology_builtin_metric_samples_create', which restates the title without adding a verb/resource explanation. It gives no hint that this creates a builtin metric sample, nor how it differs from the sibling custom_metric_samples_create or from the batch_action_create variant.

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 on when to use this tool versus siblings like ciso_assistant_api_metrology_builtin_metric_samples_batch_action_create, _refresh_create, or _custom_metric_samples_create. Nothing indicates prerequisites such as which object a sample attaches to.

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