md to docx
md_to_docxMarkdown → Word (.docx). The deliverable your non-technical colleagues actually open.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| markdown | No |
md_to_docxMarkdown → Word (.docx). The deliverable your non-technical colleagues actually open.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| markdown | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / markdownAdded value: +{}Input schema / properties / urlAdded value: +{}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only states the conversion goal and a use case, but does not mention how inputs are handled, output structure, limitations, or side effects. The description adds minimal behavioral context beyond the literal conversion.
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?
The description is very short with two sentences. The first sentence front-loads the core purpose, and the second adds a light context. No wasted words, though the second sentence is somewhat fluff, it is acceptable. It could have used space to explain parameters instead.
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?
For a tool with two undocumented parameters and no output schema, the description is incomplete. It lacks input semantics, output details, and any constraints. While the conversion concept is simple, the agent has insufficient information to invoke correctly without guessing parameter roles.
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 description coverage is 0%, and the description does not mention either parameter (url or markdown). The parameters are completely undocumented in both schema and description, leaving the agent without any semantic understanding of what inputs are expected.
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?
The description clearly states the purpose: 'Markdown → Word (.docx)' which is a specific verb-resource mapping (conversion to a specific format). It also distinguishes from sibling tools by naming the .docx output, making it unique among md_to_* converters.
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?
The description gives a hint about when to use it: 'The deliverable your non-technical colleagues actually open.' This implies use when a Word document is needed for non-technical audiences, but it does not explicitly compare to alternatives like md_to_pdf or md_to_html, nor provide exclusions. It is merely implied, not clear guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a distinct purpose: conversions follow a clear source-target format, and PDF operations (merge, split, rotate, watermark, page count, page numbers) are clearly separated. The what_can_you_do meta-tool further helps route ambiguous tasks. There is no meaningful overlap between tools.
Conversion tools consistently use source_to_target naming (md_to_docx, docx_to_md), but PDF tools mix verb_first (merge_pdf, split_pdf) with noun_first (pdf_page_count, pdf_rotate, pdf_add_page_numbers). The names are readable and searchable, but the pattern is not uniform across the set.
13 tools is well within the ideal range for a document-conversion and PDF processing server. Each tool provides a meaningful, distinct operation. The set does not feel padded or overly narrow.
The server covers the common conversion flows (DOCX to MD, MD to various formats) and core PDF operations like merge, split, rotate, watermark, and page numbering. Minor gaps are the lack of direct PDF-to-editable-format conversion and non-document input handling, but the described workflows are well covered through chaining.