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list_calls

List recent calls, newest first. Use direction 'inbound' to read calls people made to your number: the AI answers them, takes a message, and the summary and transcript are here.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "api_key": "<api_key>"
    },
    "name": "list_calls"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
api_keyYesYour Dial API key (from sign_up)
directionNo'inbound' = calls to your number (messages); 'outbound' = calls you placed

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses ordering (newest first) and that inbound calls are AI-answered with message/summary/transcript available, but says nothing about pagination, what limit does, auth requirements, or what the response shape looks like despite there being no output schema.

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?

Two tight sentences with the core behavior front-loaded, no filler. The trailing clause 'the summary and transcript are here' is slightly vague about whether those are returned by this tool or by get_call_result, costing a point.

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 3-parameter list tool with no annotations and no output schema, the description should cover pagination/limit behavior and the return shape. It covers direction well but leaves limit and the response format entirely to inference.

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 coverage is 67% and the description largely restates the direction enum already documented in the schema ('inbound' = calls to your number / messages), adding only the AI-answering context. The limit parameter and its 1–100 range are undocumented in both the description and the schema.

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 specific verb and resource (list calls) plus ordering (newest first), which is enough to distinguish it from get_call_result and make_phone_call. It doesn't explicitly name siblings, but the inbound/outbound framing gives an agent a usable mental model of what this returns.

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?

It gives one concrete usage cue: use direction 'inbound' to read calls people made to your number. It never says when to use this vs get_call_result (which presumably fetches one call's detail), and it doesn't describe the outbound use case or when to set limit, so guidance is implied rather than complete.

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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