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Turn URLs, PDFs and DOCX into clean Markdown for agents, plus prompt-injection scanning

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
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Claude
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TDQS

A3.8/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: read_url retrieves and converts web content, while scan_text performs prompt-injection risk analysis. There is no meaningful overlap in intent or expected inputs.

Naming Consistency5/5

Both names follow the same predictable snake_case verb_noun convention: read_url and scan_text. The naming is concise and consistent across the entire set.

Tool Count3/5

With only two tools, the server is very narrowly scoped and may feel thin for a general reading/safety agent. However, each tool has a clear role, so the count is not inappropriate, just borderline minimal.

Completeness3/5

The core operations of reading a URL and scanning text are covered, but notable gaps remain such as scanning a URL directly, batch processing, or richer document handling. Agents can work around some gaps by chaining read_url and scan_text, but the surface is limited.

Available Tools

2 tools
read_urlRead URLAInspect

Read a public web page or document and return clean, LLM-ready markdown. Pricing: $0.001 (1 sat) per read, or $0.003 (3 sats) when scan is true. The free tier applies first, shared with the HTTP API and all MCP tools.

Inputs: url (required), scan, max_tokens. Returns: scan, title, markdown, truncated, +2 more

scan_textScan textAInspect

Scan text for prompt-injection risk and return a risk level, score, and signals. Pricing: $0.002 (2 sats) per scan. The free tier applies first, shared with the HTTP API and all MCP tools.

Inputs: text (required). Returns: risk, score, signals

Tool Schema Changelog

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