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Glama

markdown

Converts Markdown (headings, emphasis, links, images, lists, code, quotes, tables) to HTML. Costs 0.01 USDC on Base via x402, or 12 sats Cashu ecash (NUT-24), or 12 sats over Lightning (L402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, and it does disclose a genuinely important trait: the call is paid, with three concrete rails and exact prices (0.01 USDC via x402, 12 sats Cashu NUT-24, 12 sats L402). It omits anything about failure behavior, whether payment is automatic, or payload limits, keeping it out of 5 territory.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero filler, and the core purpose is front-loaded before the pricing detail. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter converter with no output schema, the description covers what it does, what it produces (HTML), and the unusual cost model. The only gap is that output shape (e.g., returned HTML string vs. file) and input limits are never addressed.

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?

Schema description coverage is 0% and the single 'md' parameter is undocumented in both schema and description. The description at least makes the input meaning inferable ('Markdown ... to HTML' implies the string is the Markdown source), but it adds no format, encoding, or size guidance, so it only marginally compensates.

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?

States a specific verb and resource ('Converts Markdown ... to HTML') and even enumerates the supported Markdown constructs (headings, links, tables, etc.), so the function is unambiguous. However, it never differentiates itself from the potentially overlapping 'convert' sibling, so it falls short of a 5.

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?

There is no when-to-use guidance, no mention of when this is preferable to 'convert' or 'readable_text', and no note on input size limits or when conversion would fail. The agent is left to infer all routing on its own.

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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