Clean Web Grounding & Token-Efficient Markdown Synthesis

agent_url_to_clean_markdown

Read-only

High-velocity Agent Operational Primitive ($0.005 USDC on Base): Live URL-to-Clean-Markdown extractor competing with Firecrawl/Jina. Fetches any public URL via SSRF-safe HTTP + LegalTDMGuard and returns clean, prompt-injection-scrubbed Markdown.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "agent_url_to_clean_markdown"
  }
}

Input Schema

Name	Required	Description	Default
`url`	Yes	Public HTTP/HTTPS URL to fetch and convert into clean Markdown
`max_chars`	No	Maximum Markdown characters to return (default 16000)

Schema Changelog

Changes observed during successful MCP inspections.

AddedNov 6, 2026

TDQS

B3.1/5.0

Behavior3/5

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

It discloses behavior beyond the annotations: SSRF-safe fetching, a LegalTDMGuard check, prompt-injection scrubbing, and a $0.005 USDC cost on Base, which is genuinely useful payment/auth context. However, truncation behavior is only inferable from the schema, and the description says nothing about failure modes, non-HTML content, or what 'scrubbed' removes from the output.

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

Conciseness3/5

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

It is a single sentence, so it is short, but much of it is consumer-facing promotion ('High-velocity Agent Operational Primitive', 'competing with Firecrawl/Jina'). Those phrases do not help an agent decide to call the tool, and the real behavioral details, such as SSRF safety and scrubbing, are buried at the end.

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

Completeness3/5

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

Because it has no output schema and only two parameters, the description probably conveys enough to invoke the tool: pass a URL, get Markdown, possibly truncated. It nonetheless leaves open what happens on fetch failure and what the output can contain, which matters for a live-fetch tool marked openWorldHint.

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 coverage is 100%, so both parameters, including the default of 16000 for max_chars, are already documented. The description adds no meaning beyond the schema, which is the baseline expected when the schema is fully documented.

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?

The description names a specific verb+resource pair: it fetches a public URL and returns clean Markdown. That is concrete enough to distinguish it from data-lookup siblings like sec_edgar_cik_lookup, though the framing in marketing terms ('competing with Firecrawl/Jina') is noise rather than a sharper definition, and it doesn't distinguish this tool from the adjacent agent_clean_web_grounding.

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?

It says it works on 'any public URL' but never states when to choose it over agent_clean_web_grounding or any other sibling. There are no exclusions, no prerequisites, and no guidance on which inputs it will reject.

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

All Clean Web Grounding & Token-Efficient Markdown Synthesis tools Inspect

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