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aspose-cells-cloud

Aspose.Cells Cloud MCP Server

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convert_excel_to_pdf

Convert Excel spreadsheets to PDF using Base64 encoded input, creating shareable PDF documents.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spreadsheet_b64stringYes
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It mentions the Base64 input encoding requirement but omits important behavioral details such as return format, error behavior, supported Excel file versions, file size limits, or whether the conversion is synchronous. This is a significant gap for a conversion tool.

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 a single, front-loaded sentence that states the action and the key input requirement without any filler or redundancy. Every word earns its place.

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?

Given there is no output schema, the description must explain what the caller gets after conversion, but it does not. It fails to mention whether the result is a PDF file token, a download link, or another representation, which is essential for integrating this tool into a workflow. The simple scope does not fully compensate for this missing return-value information.

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 provides only a parameter name (spreadsheet_b64string) with 0% description coverage, and the description confirms that input must be a Base64 encoded string. However, this largely reiterates what the parameter name already implies and adds no extra constraints like maximum size, MIME type, or whether a data URL prefix is accepted. It is adequate but not enriching.

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 uses a specific verb ('Convert') and clearly identifies source and target resources ('Excel file' to 'PDF'), which immediately distinguishes it from related tools like convert_excel_to_csv or convert_ods_to_pdf. It leaves no ambiguity about the tool's core function.

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

Usage Guidelines3/5

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

The description implies usage when an Excel-to-PDF conversion is needed, but it does not explicitly address when to use this tool versus siblings such as convert_spreadsheet or convert_ods_to_pdf. No exclusions, prerequisites, or alternative recommendations are provided, so the guidance is only implied by the tool's purpose.

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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