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Activate AI phone calls (REAL calls, credits per minute)

activate_campaign_phone

Schedule REAL outbound AI calls to every audience contact with a phone number; credits are charged per call minute. Same args as preview_activate_campaign_phone; only after the user approved that preview. Pause with pause_channel channel=phone_call.

Input Schema

NameRequiredDescriptionDefault
idYesCampaign id (UUID) from list_campaigns
timezoneNo
call_objectiveNo
talking_pointsNo
exclude_weekendsNo
phone_number_idsYes
max_calls_per_dayNo
working_hours_endNo
working_hours_startNo
max_call_duration_secondsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden of disclosing risk. It clearly warns that calls are REAL, that credits are charged per call minute, and that preview approval is required. It stops short of explaining permissions, irreversibility, or behavior on insufficient credits, so it is strong but not exhaustive.

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

Conciseness5/5

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

Three sentences, front-loaded with the core action and cost warning. Every sentence adds distinct value: purpose, preview prerequisite, and pause alternative.

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

Completeness3/5

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

The description covers purpose, cost, approval prerequisite, and pause routing, which is adequate for a high-risk mutation. However, with ten parameters at 10% schema coverage and no annotations or output schema, it omits parameter semantics and several safety details an agent would need.

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

Parameters2/5

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

Schema description coverage is only 10% (only id is documented), so the description should compensate for the ten parameters. Instead it defers with 'Same args as preview_activate_campaign_phone', which is a useful pointer but leaves timezone, call_objective, talking_points, phone_number_ids, max_calls_per_day, working hours, and max call duration unexplained.

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, resource, and scope: scheduling REAL outbound AI calls to every audience contact with a phone number. It distinguishes itself from preview_activate_campaign_phone via the approval condition and names pause_channel as the control alternative.

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

Usage Guidelines5/5

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

Explicitly states the key precondition: use only after the user approved preview_activate_campaign_phone. It also names pause_channel channel=phone_call as the tool to use for pausing, giving a clear alternative action.

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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