MintPDF
Server Details
Turn HTML or Markdown into a clean, styled PDF and get a download link.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- TrendTweekers/mintpdf
- GitHub Stars
- 0
- Server Listing
- mintpdf
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Tool Definition Quality
Average 3.8/5 across 2 of 2 tools scored.
generate_pdf clearly takes HTML/Markdown input while pdf_from_url takes a URL. There is no overlap between sourcing content from raw text versus a web page, so an agent can unambiguously select the right tool.
Names are descriptive and follow a predictable format for the most part. generate_pdf uses verb_noun, while pdf_from_url swaps the order to noun_preposition_noun, creating a minor inconsistency but no confusion.
Two tools perfectly cover the two primary ways to generate a PDF: from provided content or from a public URL. The scope is tight and every tool earns its place.
The server covers the two core PDF generation workflows adequately. Minor gaps exist around customization options like page margins or metadata, but these are not essential for basic generation and can be worked around.
Available Tools
2 toolsgenerate_pdfGenerate a PDF from HTML or MarkdownAInspect
Renders HTML or Markdown into a PDF and returns a download URL (valid for 1 hour). Provide exactly one of html or markdown. Markdown gets a clean default stylesheet, so it is the fastest way to produce a good-looking document.
| Name | Required | Description | Default |
|---|---|---|---|
| html | No | Full HTML document or fragment to render | |
| format | No | Paper size, default A4 | |
| margin | No | Page margin on all sides, e.g. "18mm" | |
| markdown | No | Markdown content to render with the default stylesheet | |
| landscape | No | Landscape orientation, default false | |
| footerText | No | Small footer text on every page | |
| headerText | No | Small header text on every page | |
| pageNumbers | No | Show page numbers in the footer |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the 1-hour URL expiry and the default Markdown stylesheet, but does not cover error conditions (e.g., providing both inputs), size limits, or asynchronous behavior, leaving notable gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary action and output. It provides actionable guidance on input selection without any redundant or filler content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 8 parameters and no output schema, the description covers the core behavior (input, output, expiry) and parameters are fully documented in the schema. It omits details about error handling, but overall the description is sufficiently complete for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for all 8 parameters, so baseline is 3. The description adds value by explicitly stating the mutual exclusivity of html and markdown, a constraint not captured in the schema, and clarifies the Markdown styling advantage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool renders HTML or Markdown into a PDF and returns a download URL, specifying the exact input types and output. It does not explicitly distinguish from the sibling pdf_from_url, so it misses the 'distinguishes from siblings' criterion for a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives usage context by requiring exactly one of html or markdown and recommending Markdown for quick styling, but it does not mention when to use this tool instead of pdf_from_url or provide any exclusion criteria for alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
pdf_from_urlGenerate a PDF from a public URLAInspect
Loads a public web page and renders it to PDF. Returns a download URL valid for 1 hour. Only public http/https URLs are allowed.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Public http(s) URL of the page to render | |
| format | No | Paper size, default A4 | |
| margin | No | Page margin on all sides, e.g. "18mm" | |
| landscape | No | Landscape orientation, default false | |
| footerText | No | Small footer text on every page | |
| headerText | No | Small header text on every page | |
| pageNumbers | No | Show page numbers in the footer |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full transparency burden. It usefully discloses that a download URL valid for 1 hour is returned and that only public URLs are allowed. However, it omits failure modes, rate limits, or handling of inaccessible URLs, leaving notable behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, consisting of three short sentences that front-load the core action before adding output and constraint details. Every sentence contributes essential information without redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 7 parameters and no output schema, the description covers the essential output (download URL with validity) and a key constraint (public URLs). It does not explain error handling or default parameter behaviors, but these are partly covered by the schema, making it fairly complete for a tool of this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All 7 parameters have descriptions in the schema (100% coverage), so the description adds no additional semantic value to the parameters. The mention of public http/https URLs mirrors the schema's url description, and no extra meaning is provided for formatting options like margin or landscape.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it loads a public web page and renders it to PDF, specifying a specific verb and resource. It distinguishes itself from the generic sibling generate_pdf by emphasizing URL input, leaving no ambiguity about the tool's function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for public URL-based PDF generation and explicitly restricts to public http/https URLs, providing a when-not scenario. However, it does not explicitly mention the alternative sibling tool or define broader usage contexts, leaving differentiation to the reader rather than stating it.
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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