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doc-convert-mcp

Parse Spreadsheet

parse_spreadsheet

Parse a CSV or XLSX file (base64-encoded bytes) into Markdown tables.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filenameYesOriginal filename (used to detect .csv vs .xlsx).
file_base64YesThe spreadsheet file contents, base64-encoded.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose the base64-encoded input requirement and the output format, but it does not mention limitations, error behavior, or side effects. The read-only nature is implied by 'parse' but not explicitly stated.

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 sentence that front-loads the core operation and includes only necessary details. Every word adds value and there is no redundant or vague phrasing.

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?

For a simple two-parameter tool with full schema coverage and an output schema, the description is largely sufficient. It could be more complete with explicit non-destructive wording or format limitations, but nothing critical is missing for correct invocation.

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 the baseline is 3. The description adds some semantic value by noting the file is base64-encoded bytes, but it does not provide extra meaning beyond the schema for the filename parameter.

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 specific action ('Parse'), the resource ('CSV or XLSX file'), and the output ('Markdown tables'). It also differentiates from sibling tools by explicitly naming spreadsheet formats, which is distinct from OCR, PDF, or URL-text tools.

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

Usage Guidelines4/5

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

The description gives clear context by specifying the supported input types (CSV/XLSX), so an agent can infer when to use it. However, it does not explicitly state when not to use it or mention alternatives, so it stops short of full when/when-not guidance.

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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