Convert Markdown to HTML. Supports ATX headings, fenced code blocks, ordered/unordered lists, blockquotes, horizontal rules, paragraphs, inline code, bold/italic/strikethrough, links, images, and auto-linked URLs. Raw HTML in the source is escaped.
| Name | Required | Description | Default |
|---|---|---|---|
| markdown | Yes | The Markdown source to convert to HTML |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral disclosure burden. It clearly states the supported Markdown elements and adds an important safety-relevant behavior: raw HTML in the source is escaped. It could mention the return format explicitly, but for a simple conversion tool this is a well-transparent description.
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 two concise sentences with the primary action front-loaded. Every sentence earns its place: the first states the core function, the second lists supported features and the escaping behavior. No redundant or filler content is present.
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 single-parameter, no-output-schema, no-annotation tool, the description covers what input is expected, what conversion features are supported, and a key behavioral detail (HTML escaping). It does not explicitly spell out the response structure, but the tool name and opening sentence make the HTML output clear enough.
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?
The schema already fully describes the single `markdown` parameter, so the baseline is 3. The description adds value by enumerating the Markdown constructs accepted as input, which tells the agent what syntax the parameter may contain beyond the schema's generic wording.
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 opens with a specific verb and resource: 'Convert Markdown to HTML.' It then enumerates the supported Markdown features, making the tool's scope unambiguous. None of the sibling tools handle Markdown conversion, so the purpose is fully distinct without needing to name an alternative.
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 clear context for when to use the tool: whenever Markdown needs to be converted to HTML. It does not explicitly state when not to use it or name alternatives, but the sibling tools are all unrelated, so no real ambiguity exists.
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 targets a distinct operation—encoding, color conversion, parsing, hashing, JWT validation, Markdown rendering, regex testing, SemVer operations, diffing, URL analysis, and UUID generation. The four SemVer tools are related but cleanly separated by action (bump vs compare vs max vs satisfies), and descriptions clarify their boundaries.
Tools overwhelmingly follow an object_verb snake_case convention (base64_encode, csv_parse, regex_test, semver_bump). Semver_max and semver_satisfies deviate slightly from the imperative verb pattern, but the overall naming is predictable and searchable.
At 16 tools, the server is slightly above the ideal 3–15 tool range but each utility earns its place for a general-purpose developer toolbox. No tools feel redundant, and the count remains manageable because the names and domains are highly scannable.
The toolkit covers a solid breadth of common developer utilities: encodings, common formats (JSON, CSV, Markdown), hashing/JWT, regex, SemVer, cron, URL, UUIDs, and diffing. It lacks some fringe converters such as YAML/XML parsing or HTML escape/unescape, but these are minor gaps that agents can work around rather than dead ends.