well-010-docx-to-text
Server Details
Word .docx to text and tables. x402 $0.005 USDC, Base. As is, no warranty.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Score is being calculated.
Available Tools
1 tooldocx-to-textARead-onlyIdempotentInspect
Extract text and tables from a Word .docx file ($0.005 USDC via x402). Input: a public https url to a .docx, or docx_base64. https only — http, file, data, localhost, and private IPs are rejected. Caps: 10 MB file, ~15s timeout, max 5 redirects. Tables appear as [table N] placeholders in text. Unicode dashes/minus signs normalized to '-'. Old binary .doc files are not supported. Returns JSON { file, url, final_url, type: 'docx', text, tables: [{ rows }], warnings }. As is, no warranty. Nothing stored.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | https URL of a .docx file. http/file/data/localhost/private IPs rejected. | |
| filename | No | Optional file name echoed back as `file`. | |
| docx_base64 | No | Alternative to url: the .docx bytes, base64-encoded (max 10 MB). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, openWorld, idempotent, non-destructive, but the description adds substantial context beyond them: cost ($0.005 USDC via x402), caps (10 MB, ~15s, 5 redirects), table placeholder format, unicode dash normalization, and 'nothing stored / as is, no warranty.' This is exactly the extra behavioral disclosure the annotations cannot convey.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Dense but front-loaded: purpose first, then input modes, constraints, caps, output shape. Nearly every clause earns its place, though some constraint text duplicates the schema and could be trimmed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, and the description compensates by spelling out the return JSON ({ file, url, final_url, type, text, tables, warnings }), plus all relevant limits and normalization behavior. Nothing an agent needs to call it correctly is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the baseline is 3. The description reinforces the url constraint (https only) and docx_base64 (max 10 MB), but this largely restates what the schema already documents, and 'filename' is left to the schema entirely. Marginal value beyond the structured fields.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Extract text and tables from a Word .docx file.' The scope is unambiguous and, with no siblings to confuse it with, an agent immediately knows what the tool does and what artifact it operates on.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives clear context for use: accepts a public https URL or docx_base64, explicitly rejects http/file/data/localhost/private IPs, and rules out old binary .doc files. No alternatives are named, but none exist (no sibling tools), so the guidance is as complete as the environment allows.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
docx-to-text
Related MCP Connectors
Word .docx to text and tables. x402 $0.005 USDC, Base. As is, no warranty.
Extract tables from a PDF. x402 $0.01 USDC, Base. As is, no warranty.
11Extract tables from a PDF. x402 $0.01 USDC, Base. As is, no warranty.
Pre-share scan of text for your terms and secrets/PII. x402 $0.005 USDC, Base. As is, no warranty.
11
Related MCP Servers
- AlicenseAqualityCmaintenanceConverts PDF, Word, Excel, and PowerPoint documents to Markdown using a pay-per-conversion model with USDC on Base via the x402 protocol.2140 PyPIMIT
- AlicenseBqualityBmaintenanceEnables reading, creating, and editing Microsoft Word .docx documents through natural language, including text and table manipulation, cell merging, shading, borders, and table layout controls, plus font, paragraph, and list formatting. Supports extracting paragraph text and tables, appending headings and paragraphs, find-and-replace, and row, column, and table restructuring.40MIT
- AlicenseAqualityCmaintenanceEnables agents to extract multi-page financial tables from complex PDFs, rasterize vector pages into crisp 300 DPI images for vision LLMs, flatten interactive AcroForm/XFA forms, and dewarp skewed OCR bounding boxes from photographed or scanned paper documents. Tool invocations are gated by USDC micropayments settled on Base L2 via the x402 protocol.4MIT
- AlicenseAqualityDmaintenanceConvert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.58MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.