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aspose-cells-cloud

Aspose.Cells Cloud MCP Server

Official

convert_excel

Convert Base64-encoded Excel content to PDF, CSV, HTML, or XPS. Specify the target format and receive the converted file.

Instructions

Convert Excel content (provided as a Base64 string) to a specified format such as PDF, CSV, HTML, or XPS.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatYes
spreadsheet_b64stringYes
Behavior3/5

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

With no annotations, the description carries the transparency burden. It does disclose that the input must be a Base64 string and lists possible output formats, which is useful. However, it does not mention how the output is returned (e.g., file token, direct download), side effects, or any limitations, leaving significant 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.

Conciseness5/5

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

The description is a single, front-loaded sentence that conveys the core function and key input requirement without unnecessary words. Every phrase contributes value, making it appropriately concise.

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 and no annotations, the description is incomplete. It omits what the tool returns (e.g., a file token or binary data), lacks details on exact format values, and does not clarify when to use this generic converter over the many specific siblings. This is a significant gap for a tool with only two parameters and no schema descriptions.

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 0%, so the description must compensate. It explains the spreadsheet parameter as 'provided as a Base64 string' and gives example values for 'format' (PDF, CSV, HTML, XPS), adding substantial meaning beyond the bare schema. It does not specify exact format string conventions or all possible values, but it is helpful.

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 clearly states the tool converts Excel content (provided as Base64) to a specified format, with a specific verb and resource. However, it does not explicitly distinguish itself from sibling tools like convert_spreadsheet or convert_excel_to_pdf, though the Base64 input hints at a specific use case.

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?

No guidance is provided on when to use this tool versus alternatives such as convert_excel_to_pdf or convert_excel_to_csv. The description lacks any mention of preferred scenarios or exclusions, leaving the agent to guess.

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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