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callremind

CallRemind MCP Server

Official
by callremind

makeInstantCall

Trigger an immediate outbound AI voice call to any phone number using an existing agent, message template, or custom prompt and voice, for notifications or interactive conversations.

Instructions

Trigger an immediate outbound AI voice call via /v1/calls/instant. Use an existing agent (agent_id), a template (message), or a fully custom prompt/voice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phoneYesDestination phone number
voiceNoVoice id (OpenAI: alloy/sage; Edge: e.g. ms-MY-YasminNeural; Kokoro: e.g. af_heart)
messageNoNotification / start message text
agent_idNoExisting agent id (uses its voice + prompt)
from_numberNoCaller ID / from number
system_promptNoAI system prompt for a fully custom call
noninteractiveNoOne-way playback only
voice_clone_idNoQwen voice clone id (only with QWEN provider)
voice_providerNoTTS provider
notification_voice_messageNoSpoken message for notification agent

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.6

TDQS

A3.6/5.0
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 of disclosing behavior. It mentions the endpoint and trigger semantics but does not explain call lifecycle, return behavior, side effects, prerequisites beyond agent_id, or any asynchronous/callback behavior. For a mutating trigger tool, this is a significant gap.

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 concise, front-loaded sentences with no filler. The first sentence states the core action and endpoint; the second explains the three usage modes. Every phrase earns its place.

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

Completeness2/5

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

This is a 10-parameter tool with no annotations and no output schema, yet the description only provides a high-level overview. It does not explain conditional parameter relationships (e.g., voice_clone_id with QWEN), expected response shape, or operational semantics. An agent would need to infer too much to invoke it reliably in varied scenarios.

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. The description adds value beyond the schema by mapping message to a template mode and clarifying that system_prompt/voice support a fully custom call. This helps an agent understand how parameters combine, which the schema alone does not convey.

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 states a specific action ('Trigger an immediate outbound AI voice call'), identifies the resource via the endpoint, and names the three invocation modes: existing agent, template message, or custom prompt/voice. This clearly distinguishes it from scheduled-call tools and makes its scope obvious.

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?

The description gives implied usage context by noting the tool is for immediate outbound calls and describing three parameter-based modes. However, it does not explicitly compare against sibling tools like quickCall or makeInstantKokoroCall, nor state when not to use it.

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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