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

Annotations already declare destructiveHint=true, openWorldHint=true, and idempotentHint=false, so the safety profile is covered structurally. The description adds genuinely non-structured context: a deployment-level unavailability warning, per-call pricing ($0.2/per_call), the recording-consent compliance gate by jurisdiction, and the async handoff to get_outcome. Return/pagination detail is absent but an output path is named.

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?

Everything is packed into a single dense line, but it is front-loaded with the blocking availability notice before capabilities, which is the right priority. The bracketed cost and async tokens are terse and earn their space; the line is heavy but not padded.

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, no-output-schema, async side-effectful tool, the description covers availability, cost, compliance, and the outcome-retrieval path. It does not explain call failure modes or what get_outcome returns, but the essentials an agent needs before invoking are present.

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 88%, so parameters like smb_id, business_phone, and idempotency_key are already documented in-schema, and the description adds no syntax or format detail beyond what the schema provides. The mention of a plain-language objective and jurisdiction-based consent routing echoes existing schema text. Baseline 3 is appropriate.

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 ('Place a conversational voice-AI phone call to a business') and immediately scopes it against the consumer-calling case ('Business-directed (B2B), far less restricted than calling consumers'). An agent can distinguish this from send_message or send_transactional_confirmation without opening a schema.

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 clear usage context — supply a plain-language objective, business-directed calls only, compliance gate applies per jurisdiction — and routes to the follow-up sibling with '[async→get_outcome]'. It does not, however, state when to prefer a sibling channel (e.g. send_message) instead of a phone call, so it stops short of explicit alternatives.

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