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Partiful MCP Server and API by Cotlet

Send text blast in Partiful

partiful_send_text_blast
Read-onlyIdempotent

Send text blast in the user's own Partiful account from ChatGPT, Claude or any AI agent. Returns how to do it in Partiful step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Partiful Cloud Browser. Partiful's official API: Partiful has no public API and no developer docs (checked 11 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": "partiful_send_text_blast"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false; the description reinforces this with "opens nothing by itself", which is genuinely clarifying rather than repetitive. It also adds relevant context the annotations cannot convey: the tool emits step-by-step screen guidance and that Partiful has no public API. It does not say whether the Cloud Browser must already be open or whether output differs by account state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The behavioral facts come early, which is good, but "from ChatGPT, Claude or any AI agent" is marketing filler that does not help tool selection. The "(checked 11 Oct 2026)" note is verbose and the sentence structure mixes purpose, output format, and follow-up workflow in a way that takes two reads.

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, read-only tool with no output schema, the description covers the essentials: what it returns (step-by-step UI instructions), what it does not do (no side effects), and which tools to use next. Missing only preconditions and any variation in output by account/plan.

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 there is nothing for the description to disambiguate and the schema is fully self-describing. Baseline 4 applies with no penalty.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The name says "Send text blast" but the description immediately says it "Returns how to do it in Partiful step by step (screens, buttons, fields) and opens nothing by itself" – so the tool is actually an instruction generator, not a sender. The real purpose (produce a UI walkthrough for sending a text blast) is stated, but the framing in the first clause is misleading enough that an agent could wrongly assume the action occurs.

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 does give a workflow: call this, then execute the steps with the cotlet_browser_* tools in the Partiful Cloud Browser. That is useful sequencing guidance. However there are no when-not conditions and no differentiation from siblings like partiful_create_invite or cotlet_app_guide, so the agent must still infer when this tool is the right entry point.

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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