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

Annotations declare non-read-only, non-idempotent, open-world, non-destructive, but the description adds far more: it triggers a real outbound phone call, requires an explicit recorded consent with exact quoted text and version echoed back, and states the operational constraints ('use only details they gave you'). This is rich behavioral context well beyond the structured hints.

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?

The English portion is front-loaded, putting the gating condition and consent flow first, and every clause earns its place. The trailing Hebrew sentence largely restates the English, which adds length, though it is defensible for a Hebrew-speaking consent context.

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 an 8-parameter mutation tool with consent/legal implications, the description covers when to use it, the mandatory consent workflow, required vs optional inputs, legal links, and the nature of the result. An output schema exists, so return-value detail is correctly omitted and nothing critical is missing.

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 100%, so the baseline is 3. The description adds genuine semantic value by grouping fields ('name and phone required; plate or make/model/year optional') and explaining the rationale that the optional fields exist 'so the quote can be prepared,' clarifying the plate-vs-make/model/year alternative.

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: 'creates a call-back request so that ז.א ... calls them by phone,' and explicitly delimits scope with 'A contact request only: not a quote and not advice.' This clearly distinguishes it from siblings like lookup_vehicle, explain_chova_price, or check_open_recall, which are informational rather than outbound-contact tools.

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?

Opens with an explicit gating condition ('Use ONLY when the person asked to get a car-insurance quote or to be contacted') and adds hard exclusions ('never call it for someone other than the person', 'never assume, infer or pre-fill consent'). It names the alternative of not calling at all and specifies the consent precondition, leaving nothing to inference.

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