Low Risk

list_frameworks

List all 16 psychological profiling frameworks with their descriptions and trigger profile_signals. Use this first to understand what's available before querying a specific framework.

Part of the Pigeon Superstition Superposition server.

list_frameworks is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call list_frameworks to retrieve information from Pigeon Superstition Superposition without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though list_frameworks only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Pigeon Superstition Superposition policy for all 4 tools.

Get this rule live on your own Pigeon Superstition Superposition server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access list_frameworks gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so list_frameworks only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the list_frameworks tool do? +

List all 16 psychological profiling frameworks with their descriptions and trigger profile_signals. Use this first to understand what's available before querying a specific framework.. It is categorised as a Read tool in the Pigeon Superstition Superposition MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_frameworks? +

Register the Pigeon Superstition Superposition MCP server in PolicyLayer and add a rule for list_frameworks: 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 Pigeon Superstition Superposition. Nothing to install.

What risk level is list_frameworks? +

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

Can I rate-limit list_frameworks? +

Yes. Add a rate_limit block to the list_frameworks 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 list_frameworks completely? +

Set action: deny in the PolicyLayer policy for list_frameworks. 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 list_frameworks? +

list_frameworks is provided by the Pigeon Superstition Superposition MCP server (elbpr/pigeon-superstition-superposition). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pigeon Superstition Superposition tool call.

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