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Scan a page for hidden prompt-injection payloads targeting AI agents.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-03-26
URL
ChatGPT
–
Claude
–

TDQS

A4.2/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is no possibility of misselection between tools. The tool's scope is crisply defined, explicitly excluding visible-body-text judgment.

Naming Consistency5/5

The single name check_page_for_injection follows a clear verb_noun pattern in snake_case. With only one tool there is no convention to break, and the name itself is predictable and descriptive.

Tool Count3/5

One tool for a narrowly scoped security scanner is defensible, but it is thin for a domain that naturally includes scanning raw text, HTML fragments, or batches of URLs. It sits at the borderline of being under-provisioned.

Completeness3/5

The tool covers the core check but leaves notable gaps: there is no way to scan raw text or an in-memory document, no batch/multi-URL scanning, and no structured reporting of which detection technique fired. Agents can work around these by looping calls, but coverage of the scanning lifecycle is partial.

Available Tools

1 tool
check_page_for_injectionAInspect

Scan a single web page for content planted to hijack an AI agent reading it -- invisible unicode (zero-width chars, the unicode 'tag' block used for steganographic prompt injection), CSS-hidden instruction text, and instruction-shaped language in alt/title/aria-label attributes a human would never read. Does NOT judge whether visible body text is safe -- only content hidden from normal human reading flow is flagged, so a page that legitimately discusses prompt injection won't false-positive on itself. Call this before an autonomous shopping/browsing agent acts on a page's content (add to cart, follow instructions found on the page, etc).

Inputs: url (required).

Tool Schema Changelog

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