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Make Call

make_call
Destructive

Place an outbound call through a KaiCalls AI agent: a voice preview so the owner can hear Kai, or a call made on the owner's behalf (a landlord, clinic, pharmacy, school or utility) with the task in context. A call never proves inbound routing or advances activation. When the person asking writes in another language, pass report_language so Kai gathers exact details and the result is relayed in that language; Kai speaks call_language (English by default) on the phone. A new account's first call to a US or Canada business line is free; after that the account needs a plan. Kai calls businesses, not personal cell phones, on a free call. Pass an idempotency_key to make the request safely retryable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesPhone number to call (E.164 format, e.g. +19085551234)
nameNoCaller/lead name (optional)
contextNoCall context or reason (optional)
lead_idNoExisting lead ID to associate (optional)
agent_idYesKaiCalls agent ID to use for the call
call_languageNoLanguage Kai speaks on the call (optional, default en)
first_messageNoOverride the agent greeting message (optional)
idempotency_keyNoClient-chosen key that makes this call exactly-once: retries with the same key never place a second call (optional but recommended)
report_languageNoLanguage the person asking reads, as a code or name (e.g. ar, ht, tr, bn, es, zh, vi). Kai confirms names, dates and numbers so the result can be relayed in this language (optional)
connector_activation_callNoTrue only for the one-time connector activation call the recipient explicitly requested in this conversation. This is not permission for marketing, SMS, or future calls.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
callNo
errorNoPresent when success is false
successYesWhether the tool completed successfully
replayedNo
intent_idNo
preview_onlyNo
call_languageNo
idempotency_keyNo
report_languageNo
counts_toward_activationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / call_language
      Added value: +{
      +  "description": "Language Kai speaks on the call (optional, default en)",
      +  "enum": [
      +    "en",
      +    "es"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / report_language
      Added value: +{
      +  "description": "Language the person asking reads, as a code or name (e.g. ar, ht, tr, bn, es, zh, vi). Kai confirms names, dates and numbers so the result can be relayed in this language (optional)",
      +  "type": "string"
      +}
    • addedOutput schema / properties / call_language
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / report_language
      Added value: +{
      +  "type": "string"
      +}
  2. Changed3 schema fields changed
    • addedInput schema / properties / connector_activation_call
      Added value: +{
      +  "description": "True only for the one-time connector activation call the recipient explicitly requested in this conversation. This is not permission for marketing, SMS, or future calls.",
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / counts_toward_activation
      Added value: +{
      +  "type": "boolean"
      +}
    • addedOutput schema / properties / preview_only
      Added value: +{
      +  "type": "boolean"
      +}
  3. Changed4 schema fields changed
    • addedInput schema / properties / idempotency_key
      Added value: +{
      +  "description": "Client-chosen key that makes this call exactly-once: retries with the same key never place a second call (optional but recommended)",
      +  "type": "string"
      +}
    • addedOutput schema / properties / idempotency_key
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / intent_id
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / replayed
      Added value: +{
      +  "type": "boolean"
      +}
  4. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare the safety profile (destructive, open-world, not idempotent); the description goes well beyond with billing behavior (first US/Canada business call free, then a plan is required), the constraint that a call never proves inbound routing or advances activation, and the recipient-scope restriction against personal cell phones.

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?

Dense and front-loaded with the core action first, then constraints. Several clauses are long and comma-heavy, but nearly every sentence carries distinct operational information rather than padding.

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

Completeness5/5

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

For a 10-parameter mutation with an output schema, the description covers billing gating, language routing both directions, retry safety, and activation caveats. Nothing an agent needs to invoke it correctly appears to be missing.

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

Parameters4/5

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 meaning the schema lacks: the report_language vs. call_language distinction (who reads the result vs. what Kai speaks), the exact-once semantics of idempotency_key, and the narrow one-time scope of connector_activation_call.

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 an outbound call through a KaiCalls AI agent') and immediately distinguishes two modes (voice preview vs. call on the owner's behalf). An agent can separate this from check_call_status or list_recent_calls 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.

Usage Guidelines4/5

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

Gives solid context: when calling is free vs. requires a plan, when Kai will call businesses vs. personal cells, and when to pass report_language. It never names a sibling alternative explicitly, which keeps it short of a 5.

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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