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desk_send_sms

Sends an outbound SMS from SautiDesk.

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": {
      "to": "<to>",
      "body": "<body>"
    },
    "name": "desk_send_sms"
  }
}

Input Schema

NameRequiredDescriptionDefault
toYesrecipient E.164 phone number
bodyYesSMS text body
purposeNoRequired on tools that read data or reports; recommended on every tool. One sentence: what you are doing and why (for example "finding this caller's open ticket to answer them"). Building a report, dashboard, analytics or an export is a SautiDesk Pro feature done by the report tools, not by pulling records.
sender_idNooptional approved SMS sender ID of the workspace
ticket_idNooptional ticket UUID to attach the outbound SMS to

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations only declare openWorldHint=true and destructiveHint=false, so the description must carry the rest of the behavioral burden for an outbound, externally-visible action. It says nothing about delivery confirmation, message IDs, per-message cost, rate limits, or failure modes for invalid E.164 numbers. 'Outbound' is the only added signal, and it is thin.

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?

A single short sentence with no filler and the core action front-loaded. It is efficient rather than padded, though its brevity edges toward under-specification for a tool with five parameters and external side effects.

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?

For an outbound-sending tool with five parameters, no output schema, and only minimal annotations, the description is too thin. It leaves open what the call returns, whether sender_id is required for certain workspaces, and how ticket_id attachment behaves — all things an agent needs before invoking it.

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 description coverage is 100% across all five parameters, including the E.164 format for 'to' and the approved-sender-ID constraint. The description adds no meaning beyond the schema, so the baseline 3 applies — the schema does all the work here.

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: 'Sends an outbound SMS.' An agent can tell this is a messaging send operation, and 'outbound' scopes the direction. It does not, however, distinguish itself from channel siblings such as desk_send_message, desk_send_dm, or send_whatsapp_message, so channel selection still requires inference.

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?

No when-to-use guidance is given. The description never says when SMS is the right channel versus desk_send_message or send_whatsapp_message, nor does it mention prerequisites like an approved sender ID or opt-in requirements. The agent is left to guess based on the tool name alone.

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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