Skip to main content
Glama
aspose-cells-cloud

Aspose.Cells Cloud MCP Server

Official

Convert Excel To Json

convert_excel_to_json

Convert Base64-encoded Excel data to JSON format for structured data processing and API integration.

Instructions

Convert Excel content (provided as a Base64 string) to JSON format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spreadsheet_b64stringYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv26.4.0

TDQS

B3.1/5.0
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 behavioral burden. It only states the conversion action; it does not say whether the result is a JSON string or file, how sheets are handled, what Excel formats are supported, or what happens on failure.

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?

One short sentence front-loads the action and includes the critical input format detail. There is no filler, repetition, or irrelevant information.

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?

With no output schema and no annotations, the description should clarify what the agent can expect after calling the tool, such as return shape or file behavior. It does not provide this, and while the single-parameter input is simple, the missing result context makes the definition incomplete.

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?

The schema provides only a bare string parameter with no description, so the explanation that the value must be Base64-encoded Excel content adds real meaning. It does not specify encoding variants or size limits, but for a single parameter this is a useful clarification.

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 action (convert Excel content) and output format (JSON), and includes the key input detail that the content is a Base64 string. This distinguishes it from siblings like convert_excel_to_csv and convert_excel_to_pdf, though it is close to a restatement of the tool name.

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?

There is no guidance about when to choose this tool over convert_excel, convert_spreadsheet, convert_excel_to_csv, or other conversion siblings. The intent is implied by the name, but no explicit conditions, alternatives, or exclusions are provided.

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