Api metrology metric instances create

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

Annotations declare readOnlyHint=false, openWorldHint=true, idempotentHint=false – so this is a non-idempotent, open-world write. The description adds nothing: no mention of required permissions, side effects, whether re-create duplicates, or validation failures. It neither contradicts nor supplements 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 technically one token-string, so it is not bloated, but it is under-specified rather than concise. Scored 2 because it fails to communicate anything, not because it is wasteful.

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 mutation tool with zero param documentation, no output schema, and no annotations beyond generic hints demands explanation. The description supplies none, so an agent cannot confidently construct a request.

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 one optional 'body' parameter with 0% schema description coverage and no enum or nested structure to imply shape. The description says nothing about what the body should contain, leaving the single most important input 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 is the raw operation ID, 'api_metrology_metric_instances_create', which merely restates the tool name and title. It gives no plain-language statement of what is created (a metric instance), what data it needs, or how it differs from siblings like ciso_assistant_api_metrology_metric_instances_update.

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 versus the batch_action, update, partial_update, or list siblings in the metrology_metric_instances family. An agent must infer everything from the tool name.

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