webpage to docx
webpage_to_docxAny article URL → Word .docx (rendered page → clean document).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | No |
netcafe-docs
TDQS
C2.9/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden for behavioral disclosure. It mentions 'rendered page → clean document' which hints at processing, but does not disclose any side effects (e.g., network fetch, potential rendering issues, large files) or any caveats about page types supported.
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 succinct and front-loaded with the core purpose. 'Any article URL → Word .docx' is efficient, and the parenthetical adds useful detail. Could be slightly more informative without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has one optional parameter (no required params), no output schema, and no annotations, the description is minimally adequate. It conveys the main function but lacks guidance on edge cases, error handling, or what constitutes an 'article URL' (e.g., does it handle PDFs? dynamic pages?). For a simple tool, this might be sufficient, but more context would help.
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?
The schema has only one parameter 'url' with no description, and coverage is 0%. The description mentions 'article URL' but does not provide additional meaning about URL format or required encoding. Since there is only one parameter, the description adds some context but could be more explicit about acceptable URL formats or examples.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool converts an article URL into a Word .docx file, using a specific verb and resource. It distinguishes this tool from siblings by the input being a URL and output being .docx, though it could be more explicit about the rendered page to clean document aspect.
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?
The description implies usage (input a URL, get a docx), but provides no explicit when/when-not guidance or alternatives. It does not mention any constraints like only articles, or that it may not handle non-article webpages.
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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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
A3.7/5.0
Disambiguation5/5
Each tool targets a unique operation—conversions, extractions, translations, and utilities like resume checking or redaction—with no meaningful overlap. The few similar tools (e.g., convert_to_pdf vs. xlsx_to_pdf) are clearly distinguished by input type.
Naming Consistency3/5
Naming mixes conventions: verb_noun (extract_tables, redact_text), noun_to_noun (xlsx_to_pdf, pptx_to_pdf), and unusual forms like doc_translate_cn and what_can_you_do. While snake_case is consistent, the verb/noun pattern is not, making the set slightly less predictable.
Tool Count3/5
With 23 tools, the server sits at the heavy end of the acceptable range. Every tool has a distinct purpose, but the spread across PDF handling, research, audio, and accounting utilities feels more like a miscellaneous collection than a focused suite, which could overwhelm agents.
Completeness4/5
The server covers a broad spectrum of document-processing tasks—conversion, extraction, translation, redaction, and validation—with few dead ends. Minor gaps exist (e.g., no PDF merge/split, no OCR for all scanned PDFs, no explicit delete/update for resources), but core workflows are well supported.