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Omnidim

@omnidim-ai/mcp-server

by Omnidim

dispatchCall

Destructive

Initiate outbound calls to a phone number using a specified agent. Provide agent ID, destination number, and optional context to start the call.

Instructions

Initiate a call to a phone number using a specified agent. The phone number must include a country code with a leading plus.

(Tags: Calls)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestBodyYesThe JSON request body.

Schema Changelog

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

  1. Changed1 schema field changedv0.10.1
    • addedInput schema / properties / requestBody / properties / metadata
      Added value: +{
      +  "additionalProperties": true,
      +  "description": "Key-value pairs stored on the call for your own tracking\n(e.g. CRM or lead IDs). Not shared with the agent; echoed\nback as `metadata` in the post-call webhook so you can\ncorrelate results with your records.\n",
      +  "type": "object"
      +}
  2. First observedv0.9.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already communicate that this is not read-only and is destructive/mutating, and the description's 'Initiate a call' is consistent. The description adds a useful precondition (leading + and country code), but it does not disclose asynchronous execution, response contents, or real-world side effects such as call costs.

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?

The description is two short sentences with the action front-loaded and the key format constraint stated immediately after. It contains no redundant prose; the Tags line is the only marginal content.

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?

For a side-effecting call tool with a nested request body and no output schema, the description is adequate but thin. It gives the core purpose and the most important input constraint, while relying on the schema for parameter detail; it leaves the agent uninformed about response shape or post-call behavior.

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?

The input schema has 100% description coverage, including the country-code rule on to_number and the metadata webhook behavior. The description therefore adds no meaningful parameter semantics beyond the schema; the baseline 3 applies.

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

Purpose4/5

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

The description states the specific action and target: 'Initiate a call to a phone number using a specified agent.' This clearly identifies the tool as starting a single outbound call and distinguishes it from list/bulk siblings, though it does not explicitly name an alternative such as createBulkCall.

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

Usage Guidelines2/5

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

There is no guidance about when to use dispatchCall versus siblings like createBulkCall, listCallLogs, or the bulk-call helpers. The only usage hint is the phone-number format requirement, which is a validation constraint rather than a selection criterion.

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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