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

Annotations already cover the safety profile (readOnlyHint=false, idempotentHint=true, destructiveHint=false), but the description adds real value beyond them by spelling out what idempotency means concretely: it 'returns the existing dataset with created: false.' That return-shape disclosure is useful given there is no output schema.

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?

Two tight sentences, front-loaded with the action and target, followed by the idempotency behavior. No filler and every sentence carries information.

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 one-parameter create tool with no output schema, the description covers the action, the target resource, the business reason, and the idempotent return behavior. Only the relationship to the sibling get tool is left implicit.

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?

With a single parameter and 100% schema description coverage, the schema already documents profile_id fully. The description only loosely restates that the target is the WhatsApp Business Account and adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Create a Conversions API dataset on the WhatsApp Business Account') and grounds it in a business purpose (Click-to-WhatsApp ad conversion reporting). It clearly contrasts with the sibling whatsapp_dataset_get, though it never names that sibling explicitly.

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?

Usage is implied by the purpose statement (needed so conversions can be reported), but there is no explicit when-to-use/when-not guidance and no mention of the read alternative whatsapp_dataset_get. An agent can infer the intent but is given no routing rule.

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