Skip to main content
Glama
nanoparse-dev

nanoparse-mcp

Official

nanoparse_fetch

Fetch any web page and get clean, structured Markdown with metadata. Use free for first 50 parses, then pay $0.0175 USDC on Base via x402, no account or API key required.

Instructions

Fetch a web page and return clean, structured Markdown with metadata. First 50 parses free per IP. After that, pay $0.0175 USDC on Base via x402. No account or API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to fetch and convert to Markdown
debugNoIf true, include extraction diagnostics in the response (contentSelector, metadataSource, cleaning stats, timing)
Behavior4/5

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

With no annotations provided, the description discloses important behavioral traits: first 50 parses free per IP, then payment via USDC on Base through x402, and no account/API key required. This goes beyond the schema and provides useful operational context, though it omits details like error handling or rate limits.

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?

The description is two sentences, front-loaded with the main purpose, and includes necessary pricing/authentication details without unnecessary elaboration. Every sentence contributes value.

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

Completeness5/5

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

The tool is simple with only 2 parameters and no output schema. The description covers the return format (Markdown with metadata), the free tier, payment cost, and lack of API key requirement, which is complete for the tool's complexity. The debug parameter is documented in the schema, so no gap.

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?

Both parameters (url, debug) have descriptions in the schema, covering 100% of the parameters. The description itself does not add specific parameter semantics but complements with info about the output format. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches a web page and returns clean, structured Markdown with metadata. It provides a specific verb ('Fetch'), resource ('web page'), and output ('Markdown with metadata'), which is sufficient even without sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for converting web pages to Markdown, and includes practical context about free tier and payment. However, it does not explicitly describe when to use it over alternatives, though no siblings exist. Clear context without exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nanoparse-dev/nanoparse-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server