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probe_tool_result

Check external content for injection patterns before adding to agent context. Protects against prompt injection from web scrapes, PDFs, transcripts, and other sources.

Instructions

M5.7.1 — Probe external tool result for injection patterns.

Call this before inserting any externally-sourced content into agent context:
web scrapes, RSS items, PDF extracts, YouTube transcripts, GitHub readmes.

Args:
    content: The external content to probe.
    source_label: Human-readable label for logging (e.g., "PubMed abstract", "RSS item").

Returns:
    JSON with {probed_content, flagged, patterns_found}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
source_labelNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden. It explains the tool probes for injection patterns and returns a JSON with flagged results, but does not disclose potential side effects, rate limits, or authentication requirements. Adequate but not exhaustive.

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 extremely concise and well-structured, using a clear title, directive statement, and labeled args section. Every sentence serves a purpose with no fluff.

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 description covers the tool's purpose, when to use it, parameters, and return value. With an output schema present, the brief mention of return format is sufficient. All essential aspects for invocation are addressed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description clearly explains both parameters ('content' and 'source_label') with their purposes. This compensates for the lack of schema descriptions, adding practical meaning beyond the raw schema.

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 'Probe external tool result for injection patterns' with a specific verb and resource. It distinguishes itself from sibling tools by specifying a unique security-oriented function.

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 explicitly states when to use it: 'Call this before inserting any externally-sourced content...' and provides concrete examples. It does not mention when not to use or alternatives, but the guidance is clear enough for safe invocation.

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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