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Fillout MCP Server and API by Cotlet

Add question in Fillout

fillout_add_question
Read-onlyIdempotent

Add question in the user's own Fillout account from ChatGPT, Claude or any AI agent. Returns how to do it in Fillout step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Fillout Cloud Browser. Fillout's official API: Fillout has a REST API that lists forms, reads a form's questions and its submissions, creates and deletes submissions and manages webhooks, but it cannot create or edit forms, and Fillout documents no MCP server for the form builder (checked 17 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": "fillout_add_question"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and idempotentHint=true; the description adds the crucial behavioral fact that nothing is opened or changed server-side ('opens nothing by itself') and that the return is a step-by-step procedure of screens, buttons and fields. That is meaningful context beyond the annotations, given there is 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.

Conciseness3/5

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

The core claim is front-loaded in the first sentence, but 'from ChatGPT, Claude or any AI agent' is filler and the closing clause about Fillout's API is a long, only partly load-bearing aside. The parenthetical verification date adds noise rather than decision-relevant information.

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 carries the burden of describing the return value, and it does so ('step by step (screens, buttons, fields)'). It also tells the agent what to do next with that output, leaving only minor gaps such as whether the guide is form-specific or generic.

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, which is the baseline-4 case. The description correctly implies no inputs are needed to obtain the guide, though it does not state that explicitly or explain how the guide is scoped to a particular form.

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?

The description states a specific verb and resource (add a question in the user's Fillout account) and immediately corrects the name's implication by saying it 'returns how to do it in Fillout step by step... and opens nothing by itself.' An agent can tell this is a guidance tool rather than a mutation, which distinguishes it from siblings like fillout_create_form or fillout_set_form_logic.

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?

It gives the follow-through explicitly: after receiving the guide, perform the action 'with the cotlet_browser_* tools in the user's Fillout Cloud Browser,' and it rules out the official REST API because it 'cannot create or edit forms.' It does not state when to prefer this over siblings such as fillout_create_form, but the workflow context is clear.

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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