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voicemail_drops_drop

Drop a pre-recorded voicemail on a contact's voicemail box. The Worker initiates a Twilio call with machine-detection; Twilio waits for the voicemail to pick up, plays the audio, then hangs up. NEVER plays at a live person — if AMD detects a human, Twilio hangs up silently. Standard voice rates apply ($0.05/min). Requires the drop to have audio (check has_audio via voicemail_drops_list).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dropIdYesUUID of the voicemail drop to play. From voicemail_drops_list.
toPhoneNoOptional explicit phone in E.164 (+1...). Use when there's no contact in the CRM.
contactIdNoOptional contact UUID. Worker pulls the contact's primary phone.
fromNumberIdNoOptional — specific Twilio number UUID to dial FROM. Defaults to user's first active number.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

No annotations are present, so the description carries full responsibility for behavioral disclosure, and it does so strongly. It states the call NEVER plays at a live person, that Twilio hangs up silently if AMD detects a human, and that standard voice rates apply. This is exactly the safety and side-effect information an agent needs before invoking this tool.

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 purpose is front-loaded in the first sentence. The remaining sentences each earn their place: mechanism, live-person safety, cost, and audio prerequisite. It packs significant behavioral detail without filler or repetition.

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

Completeness4/5

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

The description covers prerequisite validation, phone selection, cost, and the core execution behavior, which is enough for a correct call. Minor gaps remain: how the agent should behave if both toPhone and contactId are supplied, and what the response/return value looks like. With no output schema, slightly more return context would be helpful.

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 baseline is 3. The description adds meaningful selection guidance for toPhone vs contactId, clarifies that fromNumberId defaults to the user's first active number, and adds a prerequisite tied to dropId (has_audio). This exceeds baseline without being exhaustive.

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?

Opens with a concrete verb and resource ('Drop a pre-recorded voicemail...') and explains the actual mechanism: a Twilio call with machine detection that plays audio to a voicemail box. The distinction from sibling tools like voicemail_drops_create and voicemail_drops_list is clear from the action described.

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?

Provides an explicit precondition: verify has_audio via voicemail_drops_list before dropping. It also tells the agent when to use toPhone ('when there's no contact in CRM') versus contactId. It doesn't explicitly contrast with voicemail_drops_create, but the need to select an existing drop is clear enough.

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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