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aspose-cells-cloud

Aspose.Cells Cloud MCP Server

Official

Convert Excel To Pdf

convert_excel_to_pdf

Convert an Excel spreadsheet to PDF by providing its Base64-encoded content, enabling automated PDF generation from Excel data.

Instructions

Convert an Excel file to PDF. Input must be provided as a Base64 encoded string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spreadsheet_b64stringYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv26.4.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose the Base64 input constraint, but it says nothing about what happens after conversion — whether the PDF is returned inline, saved for a later download_file call, or overwrites anything — and it does not mention error conditions or size limits.

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 two short sentences with no filler: the first states the purpose, the second adds the key input constraint. The critical information is front-loaded, and every sentence earns its place given the tool's simple interface.

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

Completeness2/5

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

For a conversion tool with no annotations and no output schema, an agent cannot tell how to retrieve the PDF result or whether the output is saved server-side for a subsequent download. This is a significant gap given siblings like download_file and save_spreadsheet_as imply a file-management workflow.

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?

With 0% schema description coverage, the sole parameter spreadsheet_b64string is merely typed as a string, so the description must compensate. It does add meaning by specifying that the input must be Base64-encoded, but it leaves ambiguity about whether this is the raw file content, what Base64 variant is expected, and whether whitespace/newlines are tolerated.

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 ('Convert an Excel file to PDF'), so the core purpose is clear. However, it does not explicitly differentiate itself from closely related siblings like convert_excel_to_csv, convert_excel_to_json, or convert_spreadsheet; differentiation comes only implicitly from the output format named in the tool title.

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

Usage Guidelines2/5

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

Aside from the Base64 input requirement, the description gives no guidance on when to use this tool versus its alternatives. It names no sibling tools, no exclusions, and no conditions that would route an agent here rather than to convert_excel_to_csv, convert_excel_to_json, or save_spreadsheet_as.

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