markdown_to_html
Convert Markdown text to HTML. When: Render markdown → HTML for previews or emails.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
Convert Markdown text to HTML. When: Render markdown → HTML for previews or emails.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry full behavioral disclosure. It only states the conversion action without detailing markdown flavor support, limitations, error handling, or side effects. For a conversion tool, this is insufficiently transparent.
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?
Two concise sentences: one for purpose and one for usage context. No superfluous content. Every word adds value, making it highly efficient for an agent to parse.
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 simple tool with one parameter and no output schema, the description is minimally adequate. However, it lacks details about markdown spec, output behavior, and edge cases, which would be expected for completeness without annotations.
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%, but the description implies the single parameter 'text' is markdown content. This adds some meaning beyond the schema's raw type, but it does not specify format, encoding, or constraints, so baseline compensation is minimal.
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 tool's purpose with a specific verb ('Convert') and resource ('Markdown text to HTML'). It adds a usage hint ('for previews or emails'), but does not differentiate from the sibling tool 'html_to_markdown' or other 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 provides explicit context for when to use the tool ('Render markdown → HTML for previews or emails'). However, it does not mention when not to use it or suggest alternatives (e.g., for more complex conversions).
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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