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excel_to_json

Extract data from Excel sheets and convert to structured JSON with headers and typed rows. Specify sheet index and header presence for precise data extraction.

Instructions

Extract data from an Excel sheet and return structured JSON.

Returns headers (if present) and typed data rows.

Args: excel_base64: Base64-encoded Excel file. sheet_index: Sheet index to extract (0-based, default: 0). has_header: Whether the first row is a header (default: true).

Returns: JSON with sheetName, totalRows, headers, and data array.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
excel_base64Yes
sheet_indexNo
has_headerNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. It explains the extraction and return format but does not explicitly state it is read-only or disclose constraints like file size limits or error handling.

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?

Description is concise with a summary line followed by clear Args and Returns sections. No unnecessary words, and key information is front-loaded.

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's moderate complexity and presence of an output schema, the description covers purpose, parameters, and return format. It lacks error scenarios but is sufficient for typical use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description provides detailed explanations for all three parameters (excel_base64, sheet_index, has_header) in the Args section, adding meaning beyond types and defaults.

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?

Description clearly states 'Extract data from an Excel sheet and return structured JSON', specifying verb, resource, and output format. It distinguishes from siblings like excel_to_csv by targeting JSON output.

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 explicit guidance on when to use this tool vs alternatives like excel_to_csv or inspect_excel. The description only explains what it does, not when to choose it.

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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