Low Risk

pattern_scan

Detects behavioral antipatterns: overbuilding drift, monetization avoidance, prestige bias, idea hopping. Use this when the user is talking ABOUT their approach, mindset, or decision-making — not presenting a new idea. Does NOT search external sources. For new ideas, use run_the_bet instead.

How to control pattern_scan ↓

What pattern_scan does on openGlad

AI agents call pattern_scan to retrieve information from openGlad without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why pattern_scan needs a policy

This tool retrieves and analyzes existing data about user behavior and decision patterns to provide diagnostic insights. It performs pattern detection and classification—a read-only analytical operation with no side effects, state changes, or irreversible actions. The explicit note that it does not search external sources and is scoped to analyzing user input further confirms it as a passive Read operation.

From the tool's definition Tool description states it 'Detects behavioral antipatterns' and 'Does NOT search external sources'. The tool analyzes user-provided information about 'approach, mindset, or decision-making' to identify patterns.

Documented attack patterns abuse exactly the kind of access pattern_scan gives an agent:

How to control pattern_scan

PolicyLayer is an MCP gateway — it sits between your AI agents and openGlad, and nothing reaches the server without passing your rules. This is the rule we recommend for pattern_scan:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pattern_scan": {}
  }
}

pattern_scan is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register openGlad — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about pattern_scan

What does the pattern_scan tool do? +

Detects behavioral antipatterns: overbuilding drift, monetization avoidance, prestige bias, idea hopping. Use this when the user is talking ABOUT their approach, mindset, or decision-making — not presenting a new idea. Does NOT search external sources. For new ideas, use run_the_bet instead. It is categorised as a Read tool in the openGlad MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pattern_scan? +

Register the openGlad MCP server in PolicyLayer and add a rule for pattern_scan: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches openGlad. Nothing to install.

What risk level is pattern_scan? +

pattern_scan is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pattern_scan? +

Yes. Add a rate_limit block to the pattern_scan rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block pattern_scan completely? +

Set action: deny in the PolicyLayer policy for pattern_scan. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides pattern_scan? +

pattern_scan is provided by the openGlad MCP server (tuguberk/openglad). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every openGlad tool call.

Start from openGlad, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

13 openGlad tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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