Api metrology metric definitions update

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered by structured data. The description contributes nothing beyond that - no statement about permissions, whether unspecified fields are cleared, or what the response contains - so credit is limited to the annotation coverage it does not contradict.

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 a single identifier token rather than prose, so there is no wasted text but also no front-loaded statement of purpose. Brevity here comes from under-specification, not from efficient writing.

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 endpoint with an opaque free-form body, no output schema, and openWorldHint=true needs the description to explain payload shape and side effects. None of that is present, leaving the tool effectively unusable 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?

Schema description coverage is 0% and the description supplies no parameter information at all. The 'body' parameter is an unconstrained free-form object, which is exactly the case where the description must describe the updatable field set, and it does not.

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's own identifier echoed back ('api_metrology_metric_definitions_update'), which restates the name rather than explaining the operation. It gives no indication of what a metric definition is in this product or what fields can be updated, so the agent must infer everything from the slug.

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 guidance, no mention of the sibling operations that overlap heavily (partial_update, batch_action_create, destroy, retrieve), and no exclusions. The agent is left to guess between at least four near-identical metrology metric-definition endpoints.

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