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smallest-inc

Smallest MCP Server

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by smallest-inc

make_call

Initiate outbound phone calls using AI agents. Provide an agent ID and phone number to start a call where the agent follows its configured prompt.

Instructions

Initiate an outbound phone call using a specific agent. The agent will call the provided phone number and follow its configured prompt. Only telephony outbound calls are supported — for webcall or chat, use app.smallest.ai.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesThe agent ID to use for the call
phone_numberYesPhone number to call in E.164 format (e.g. +14155551234)
from_product_idNoTelephony product ID to use as the caller ID. Must be a phone number product owned by your org. If omitted, a default number is used. Use get_phone_numbers to find available product IDs.
variablesNoPer-call variables to pass to the agent prompt (e.g. { prospect_name: 'John', prospect_company: 'Acme' }). These override the agent's defaultVariables for this call.
version_idNoAgent version ID to use for this call. If omitted, uses the agent's current live configuration.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It fails to disclose behavioral traits such as whether the call is synchronous, what happens on failure, credit consumption, or return values.

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?

Two sentences with no redundancy. Every sentence adds value: first states purpose and mechanism, second clarifies scope.

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 adequately covers the primary purpose, but omits return value information and behavioral context (e.g., async/sync, error handling). Given the lack of annotations and output schema, it is minimally adequate.

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 description coverage is 100% and the schema descriptions are detailed. The tool description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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?

The description clearly states the action ('initiate an outbound phone call'), specifies the resource ('using a specific agent'), and distinguishes from alternatives ('for webcall or chat, use app.smallest.ai').

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?

It explicitly says when to use (telephony outbound calls) and when not to (webcall/chat), but does not compare to other sibling tools like debug_call or test_version.

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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