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cyberchef_strix_triage

Triage suspicious strings for security risks: detect DLP/PII leaks, calculate entropy, and produce severity findings with remediation steps.

Instructions

Automated one-shot security triage for autonomous AI agents (Strix, Claude, Cursor). In a single turn, checks an unknown or suspicious string for DLP/PII leaks, calculates alphabet-calibrated entropy, attempts magic recipe detection, and produces actionable severity findings and remediation steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe suspicious token, log excerpt, parameter, or unknown payload to triage.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.4

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does reasonably well: it discloses that it bundles multiple checks in a single call and describes its output (severity findings and remediation steps). It does not mention permissions or failure behavior, but for a read-only analysis tool this is adequate context.

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

Conciseness4/5

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

Two dense sentences that front-load the composite purpose and then the capabilities. No filler, though the parenthetical audience list (Strix, Claude, Cursor) is marginally decorative.

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

Completeness4/5

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

No output schema exists, yet the description sketches the return shape (severity findings + remediation steps), filling that gap. For a one-parameter tool with full schema coverage, the definition is largely complete.

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 description coverage is 100% for the single `input` parameter, so the schema already defines its meaning. The description adds only loose framing ("suspicious token, log excerpt, payload") that overlaps the schema, so the baseline 3 applies.

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 gives a specific verb+resource: "Automated one-shot security triage" for a suspicious string. It enumerates the composite actions (DLP/PII, entropy, magic recipe detection, findings), so the agent knows exactly what it does. It stops short of naming which siblings (e.g. cyberchef_entropy, cyberchef_magic) it supersedes, so differentiation is implied rather than stated.

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

Usage Guidelines3/5

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

"unknown or suspicious string" and "one-shot" imply when to reach for it over the granular siblings, but no explicit when-to-use/when-not or alternative is named. The guidance is inferable but not spelled out.

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