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Beautiful.ai MCP Server and API by Cotlet

Export to PDF in Beautiful.ai

beautiful_ai_export_to_pdf
Read-onlyIdempotent

Export to PDF in the user's own Beautiful.ai account from ChatGPT, Claude or any AI agent. Returns how to do it in Beautiful.ai step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Beautiful.ai Cloud Browser. Beautiful.ai's official API: Beautiful.ai has an API that creates presentations from a structured outline and an official MCP connector that creates draft decks, lists presentations and exports PDF or PowerPoint (checked 11 Oct 2026).

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?

The description adds important behavior beyond the annotations: it returns instructions and does not open anything by itself, aligning with readOnlyHint=true. It also notes that the user's own Beautiful.ai account is involved, but does not discuss authentication requirements or output format details.

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 description is front-loaded and mostly focused, but the final sentence about the official API and MCP connector adds tangential detail, including a specific check date, that is not strictly needed for invoking this tool. The core behavior and next step are clear.

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 guide tool with no output schema, the description provides enough context: what it returns, that it has no side effects, and which tools to use afterward. It could be slightly more explicit about the expected output format, but overall it is complete enough to call correctly.

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 has zero parameters, so there is no parameter semantics to explain. A baseline of 4 is appropriate for a zero-parameter tool.

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 that this tool returns step-by-step instructions for exporting to PDF in Beautiful.ai and explicitly says it opens nothing by itself, which clarifies the otherwise action-like name. It distinguishes itself from the cotlet_browser_* siblings by saying the actual export is done with those browser tools.

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 clear usage context: call this to get step-by-step instructions, then perform the export with cotlet_browser_* tools. It also mentions the official Beautiful.ai API/MCP connector as an alternative, though it does not explicitly state when to prefer one over the other.

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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