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Call and speak

request_speak

Dials the number and the assistant handles the task on the phone. Business plan. The user's own phones stay quiet unless connect_user is true. Returns immediately with call_id. An empty transcript means speaking is still in progress. connect_user true asks the person to hold, rings the user's phones into the same conversation, and the assistant leaves.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesWhat the assistant should say and do. Max 500 characters.
destinationYes
identity_idNo
connect_userNoWhen true, the destination is asked to hold, the user's phones are rung into the same conversation, and the assistant leaves.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / connect_user / description
      Previous value: -"When true, hold the destination, ring the user into the call, then the assistant leaves."New value: +"When true, the destination is asked to hold, the user's phones are rung into the same conversation, and the assistant leaves."
  2. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Goes beyond the annotations (which only say non-read-only, open-world, non-idempotent) by disclosing asynchronous behavior: 'Returns immediately with call_id', 'An empty transcript means speaking is still in progress', and the exact effect of connect_user on the user's phones. It does not cover failure modes, cost, or what happens if the call fails, keeping it short of a 5.

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?

Short, front-loaded sentences with the core action first and the return/transcript semantics after. Some sentences duplicate the schema's connect_user wording, which is minor waste.

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?

With no output schema, the description usefully explains the immediate call_id return and how to interpret an empty transcript, plus the connect_user side effects and plan gate. The main gap is the undocumented identity_id parameter and any failure/cost behavior.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50%, and the description mostly restates the schema's own connect_user text verbatim, which earns no credit. It implies destination is the dialed number but says nothing about identity_id, which is documented nowhere, so the coverage gap is not compensated.

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?

States a concrete action (dials a number, assistant handles the task on the phone) with enough specificity to be understood. However, it never distinguishes itself from the sibling request_call or quote_call, so an agent cannot tell which one to pick from the description alone.

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 'Business plan' note gives one prerequisite, which is useful context. But there is no explicit when-to-use / when-not-to-use guidance and no reference to the alternative calling tools, so routing between request_speak, request_call and quote_call is left to inference.

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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