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SimpleTexting MCP Server and API by Cotlet

Assign conversation in SimpleTexting

simpletexting_assign_conversation
Read-onlyIdempotent

Assign conversation in the user's own SimpleTexting account from ChatGPT, Claude or any AI agent. Returns how to do it in SimpleTexting step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's SimpleTexting Cloud Browser. SimpleTexting's official API: Yes, SimpleTexting has a REST API on any paid plan, but only on approval, and it has no official MCP server (checked 23 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "simpletexting_assign_conversation"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false; the description reinforces this by explicitly stating it opens nothing by itself, which removes the main ambiguity for a tool named "assign." It also discloses the return content (step-by-step screens/buttons/fields) and the API-availability background, though it says nothing about output size or failure modes.

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?

Purpose, non-action caveat and next step are front-loaded in the first sentence of substance, so an agent gets the key routing signal immediately. The trailing API-availability/approval sentence and the dated check are marginally useful context that could be trimmed.

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?

For a zero-parameter, annotation-covered, output-schema-less tool, the description covers what the tool is, what it returns, and how to follow through with browser tools. It omits any prerequisite about the Cloud Browser session being open, which is a minor gap.

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?

The tool takes zero parameters, so the description carries no parameter burden and the baseline applies. Nothing in the text misrepresents inputs, and the absence of parameters is consistent with a guidance-only tool.

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?

States a specific verb and resource ("Assign conversation in the user's own SimpleTexting account") and immediately disambiguates what the tool actually is: a step-by-step instruction generator that "opens nothing by itself." An agent can tell this apart from the sibling action tools like simpletexting_send_message without reading any schema.

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?

Gives clear usage context: call this to get screens, buttons and fields, then perform the action with cotlet_browser_* tools in the SimpleTexting Cloud Browser. It does not name a specific alternative guide tool such as cotlet_app_guide or state when not to use it, so it falls short of explicit alternatives/exclusions.

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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