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Markdown to Excel Converter

create_excel_from_markdown

Convert markdown with tables and formulas to Excel .xlsx, creating multiple sheets with ## Sheet: headings.

Instructions

Converts markdown content with tables and formulas to Excel (.xlsx) format. Use '## Sheet: Name' headings to create multiple sheets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_nameNoCustom filename for the output file (without extension). If not provided, a unique identifier will be used.
markdown_contentYesMarkdown content containing tables, headers, and formulas. Use '## Sheet: Sheet Name' to create multiple worksheets. Use T1.B[0] for cross-table references and B[0] for current row references. Use SheetName!T1.B[0] for cross-sheet references (resolves to SheetName!B2 in Excel). ALWAYS use [0], [1], [2] notation, NEVER use absolute row numbers like B2, B3. Do NOT count table header as first row, first row has index [0]. Supports cell formatting: **bold**, *italic*.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations provide only a title, so the description must carry the transparency burden. It mentions conversion and sheet creation but omits details like output file behavior, return format, or limitations. The input schema adds parameter descriptions, but the description itself is basic.

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?

Two sentences, front-loaded with purpose followed by a concise usage instruction. No redundant or extraneous content.

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

Completeness4/5

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

Given the tool has an output schema and the input schema is well-described, the description is largely sufficient. It could mention that formatting and cross-references are documented in the schema, but overall it provides the core purpose and key usage hint.

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?

Schema description coverage is 100%, so baseline is 3. The description adds a usage tip for sheet headings but does not significantly elaborate beyond what the schema already provides (e.g., markdown_content details are already in the schema).

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 clearly states the verb 'converts' and the resource 'markdown content with tables and formulas' to 'Excel (.xlsx) format'. This distinguishes it from sibling tools like create_word_from_markdown or create_pdf_from_markdown.

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 for converting markdown to Excel and creating multiple sheets, but does not explicitly state when to use this tool vs alternatives like create_word_from_markdown. No exclusions or prerequisites are mentioned.

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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