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

Annotations declare a non-readonly, open-world, non-idempotent mutation; the description goes further by disclosing the third-party phone call that follows, the mandatory consent capture, the echo of consent text and version in the result, and links to terms/privacy. It does not address duplicate submissions or whether repeated calls create multiple requests, which is the one behavior an agent would still guess at given idempotentHint=false.

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 consent rule is front-loaded after the trigger condition and the whole thing reads as purposeful clauses rather than padding. It is dense — the verbatim Hebrew consent text is long — but that length is functional, not filler, and the bilingual tail is a minor duplication.

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?

With an output schema present, the description need not explain return values, yet it still notes that the result echoes the recorded consent text and version. Combined with full schema coverage and annotations, an agent has everything needed to call this correctly and lawfully.

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 coverage is 100%, so the baseline is 3, but the description adds real semantics beyond the schema: name and phone are required while plate or make/model/year are optional 'so the quote can be prepared', and consent must come from the person's own explicit agreement. That meaningfully shapes how the agent fills the fields even though the schema already documents formats and constraints.

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 action and resource — 'creates a call-back request so that ז.א ... calls them by phone' — and explicitly delimits it against adjacent concepts ('A contact request only: not a quote and not advice'). An agent can distinguish this from siblings like explain_chova_price or lookup_vehicle without opening schemas.

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?

Gives an explicit trigger ('Use ONLY when the person asked to get a car-insurance quote or to be contacted') plus hard exclusions: never assume or pre-fill consent, never call for someone other than the person, only use details they gave. The gating condition (explicit yes in this conversation) is spelled out with the exact consent wording.

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