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InfinityScrape MCP

InfinityScrape MCP

extract_xlsx_spreadsheet

Stream remote or local .xlsx spreadsheets and parse every worksheet into clean Markdown tables and structured JSON records, with a configurable row limit per sheet.

Instructions

Excel Spreadsheet (.xlsx) Streamer & Structured Table Extractor: Streams remote or local .xlsx spreadsheets and parses all worksheets into clean Markdown tables and structured JSON records.

Args: url_or_path: Remote URL (http/https) or local absolute file path to the .xlsx file. max_rows: Maximum rows to extract per worksheet (default 100).

Input Schema

NameRequiredDescriptionDefault
max_rowsNo
url_or_pathYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It does disclose useful behaviour: it streams content, parses ALL worksheets, emits both Markdown and JSON records, and caps rows per worksheet; but it says nothing about permissions, network fetch risks for remote URLs, failure modes, or very large files.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is short and front-loaded, with the purpose in the first sentence and parameters broken out afterwards. The docstring-style 'Args:' block and the duplicated title line are slightly redundant but cost little.

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 two-parameter extraction tool with an existing output schema, this covers what an agent needs: what it accepts, the scope of extraction, and the result formats. Only edge-case behaviour (oversized files, unreachable URLs, unsupported sheet features) is unaddressed.

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, and it largely does: url_or_path is explained as an http/https URL or a local absolute path, and max_rows as a per-worksheet cap defaulting to 100. The 'per worksheet' scoping is meaning the schema itself never conveys.

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 names a specific verb and resource ('Streams remote or local .xlsx spreadsheets and parses all worksheets') and states the output forms (Markdown tables, structured JSON records). That clearly separates it from sibling extractors such as extract_pdf, extract_docx_document, and extract_image_exif.

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?

Usage is only implied: the .xlsx scope and the 'remote or local' input hint tell you the tool applies when the source is an Excel workbook. There is no explicit statement about when not to use it, no mention of alternatives for other formats, and no prerequisites or size/rate guidance.

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