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HTML to PDF

html_to_pdf

Render an HTML document to a real PDF with headless Chrome (full CSS support, print backgrounds). Returns a hosted download URL valid for 24 hours. Free demo: 3 renders/day. With a free ToolForte API key (Authorization: Bearer tf_..., get one at https://toolforte.com/developers), which spends your monthly unit balance: 25 units per render.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
htmlYesFull HTML document to render
formatNoPaper size: A4 or Letter (default A4)A4
landscapeNoLandscape orientation instead of portrait (default false)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHosted download URL of the produced file
bytesNoSize in bytes
resultNoThe result, when it is not an object
meteringNoWhat this call cost and what allowance remains
expiresAtNoWhen the download URL stops working (ISO 8601)
contentTypeNoMIME type of the produced file

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changed
    • addedInput schema / properties / format / description
      Added value: +"Paper size: A4 or Letter (default A4)"
    • addedInput schema / properties / landscape / description
      Added value: +"Landscape orientation instead of portrait (default false)"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "https://json-schema.org/draft/2020-12/schema",
      +  "additionalProperties": {},
      +  "properties": {
      +    "bytes": {
      +      "description": "Size in bytes",
      +      "type": "number"
      +    },
      +    "contentType": {
      +      "description": "MIME type of the produced file",
      +      "type": "string"
      +    },
      +    "expiresAt": {
      +      "description": "When the download URL stops working (ISO 8601)",
      +      "type": "string"
      +    },
      +    "metering": {
      +      "additionalProperties": {},
      +      "description": "What this call cost and what allowance remains",
      +      "properties": {
      +        "remaining": {
      +          "type": "number"
      +        },
      +        "source": {
      +          "type": "string"
      +        }
      +      },
      +      "type": "object"
      +    },
      +    "result": {
      +      "description": "The result, when it is not an object"
      +    },
      +    "url": {
      +      "description": "Hosted download URL of the produced file",
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.5/5.0
Behavior5/5

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

It discloses behavior beyond the annotations: output is a hosted download URL valid for 24 hours, demo is limited to 3 renders/day, API key authentication format is provided, and each render consumes 25 units. This gives the agent a clear sense of side effects, costs, and constraints without contradicting the 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 concise and front-loaded with the core purpose. Every sentence adds useful information: rendering behavior, output characteristics, and usage limits. There is no filler or redundancy.

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?

With an output schema present and the input schema covering all parameters, the description supplies the remaining operational details an agent needs: real PDF quality, download URL expiration, demo limits, authentication, and pricing. Nothing critical is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, so the parameter meanings are fully documented in the schema. The description adds no new parameter-specific semantics, which is acceptable given the schema already handles that burden.

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 states a specific verb and resource: 'Render an HTML document to a real PDF with headless Chrome'. It also clarifies capabilities like full CSS support and print backgrounds, which distinguishes it from image-based conversions and sibling tools like url_to_pdf.

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?

The description clearly conveys when to use the tool: when an HTML document needs to become a PDF with high fidelity rendering. It also provides important operational context such as the free demo limit and API key requirement, though it does not explicitly name sibling alternatives or state when not to use 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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TDQS

A3.8/5.0
Disambiguation5/5

Every tool targets a distinct resource or action, and the detailed descriptions clearly separate near neighbors like generate_test_bsn versus generate_brp_test_data, read_page versus url_screenshot versus url_to_pdf, and image_compress/convert/resize. Even with 40 tools, there is no real boundary-blurring overlap.

Naming Consistency3/5

All names are snake_case and readable, but the set mixes conventions: verb_noun (generate_*, validate_*), noun_verb (pdf_merge, image_resize), conversion-style names (csv_to_json, html_to_pdf), and bare nouns (base64, qr_code_png). The groups are recognizable, but there is no single predictable pattern.

Tool Count2/5

Forty tools is an oversized surface for an agent to consider on every call, well above the point where tool selection cost starts to hurt. The broad purpose explains the count, but many one-off utilities could be grouped or exposed selectively.

Completeness3/5

The server covers many domains—encoding, Dutch test data, image/PDF handling, memory, and workflows—but several categories are partial: there are no reverse conversions like json_to_csv or html_to_markdown, no PDF text extraction, and no workflow create/update/delete tools. Agents can work around some gaps, but notable operations are missing.

Resources