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create_outbound_call

Destructive

Place a real telephone call. Ask the user to approve recipient, caller number and expected usage first. Billing/provider/carrier checks are the same as REST. No automatic retry or universal idempotency guarantee.

Input Schema

NameRequiredDescriptionDefault
dataYesCall request.
confirmYesSet true only after the user approves this paid action. A timeout is not safe to retry blindly.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true, and the description reinforces those with concrete operational detail: no automatic retry, no universal idempotency guarantee, and that billing/carrier checks apply. That retry semantics and cost side-effects are spelled out adds genuine value beyond the hints, though the failure/response behavior is not described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences, front-loaded with the action, then the approval gate, then side effects. 'Billing/provider/carrier checks are the same as REST' is a slightly opaque cross-reference to a REST API an agent may not have, but it costs only one sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a paid, destructive, non-idempotent mutation with a nested parameter object and no output schema, the description covers the safety-critical facts: user approval required, real billing applies, no automatic retry. Only the return value and error/failure behavior are unstated, which is a minor gap given the schema is fully documented.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% — both `data` sub-fields and `confirm` are documented in the schema, including the E.164 pattern and the 'timeout is not safe to retry blindly' note. The description adds little beyond restating the approval intent, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Place a real telephone call'), and the word 'real' implicitly distinguishes it from the simulation siblings (create_simulation, start_simulation_run) that also produce calls. An agent can tell what this does without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear precondition ('Ask the user to approve recipient, caller number and expected usage first'), which is real usage guidance. But it never names alternatives such as apifleet_estimate_call_cost for pre-flight cost checks or create_simulation for non-billed testing, so routing between siblings is left to inference.

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

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