Skip to main content
Glama

convert_from_url

Convert documents from public URLs—including Dropbox and Google Drive links—to PDF, DOCX, HTML, and other formats. Submit a source URL and output format, then track progress with a job ID.

Instructions

Offload a document conversion to Botverse — runs server-side in seconds, returns a download link, and frees you to continue with other tasks while it processes. Use this when the source document is at a public URL — including Dropbox, Google Drive, OneDrive, SharePoint, and Box share links (pass the share URL as-is). If you already have the content as a string, use convert_content instead — no upload step needed. Supported inputs: md, html, rst, txt, docx. Supported outputs: docx (Word), pdf, html, txt, md, rst, xlsx (tables extracted). Returns a job_id immediately. Poll get_job_status every 5s until 'complete', then get_download_url. Flat fee $0.05 per file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
source_urlYesPublic HTTPS URL of the source document.
output_formatYesTarget format: docx | html | txt | md | rst | pdf | xlsx

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesUnique identifier for this job. Pass to get_job_status and get_download_url.
statusYesInitial job state — always queued or processing immediately after submission.
estimated_secondsNoRough estimated processing time in seconds. Actual time may vary.
Behavior5/5

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

Discloses server-side processing, immediate job return, polling frequency (every 5s), and pricing ($0.05 per file). Annotations (readOnlyHint=false, etc.) are not contradicted; description adds rich behavioral context beyond annotations.

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

Conciseness5/5

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

The description is front-loaded with the main value, then structured logically: when to use, alternatives, supported formats, workflow steps, pricing. No redundant sentences; every sentence serves a purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that output schema exists (context signal) and annotations are minimal, the description covers all needed context: conversion is async, returns job_id, polling procedure, pricing, supported formats, and input constraints (public URL). Complete for its complexity.

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?

Schema coverage is 100%, so baseline 3. Description adds value by clarifying source_url accepts Dropbox, Google Drive, etc. share links, and reiterates output_format enum. This extra context justifies a 4.

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?

The description clearly states the tool converts a document from a public URL using Botverse, with specific verb 'Offload a document conversion'. It distinguishes from sibling convert_content by specifying when to use each (URL vs. string content). Supported inputs and outputs are listed, making purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states 'Use this when the source document is at a public URL' and provides counterexample: 'If you already have the content as a string, use convert_content instead.' Also mentions supported formats and workflow steps (polling, download). No ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MkTurner74/botverse-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server