Low Risk

get_behavioral_analysis

Get behavioral analysis from procedural memory. Returns aggregate trading behavior stats: hold times, disposition ratio, lot sizing variance, and Kelly criterion comparison. Args: strategy_name: Filter by strategy name. Returns all if omitted. symbol: Filter by symbol. Returns all if omitted.

Part of the Pypi:tradememory Protocol server.

get_behavioral_analysis 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 get_behavioral_analysis to retrieve information from Pypi:tradememory Protocol 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 get_behavioral_analysis 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": {
    "get_behavioral_analysis": {}
  }
}

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These attack patterns abuse exactly the kind of access get_behavioral_analysis 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 get_behavioral_analysis 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 get_behavioral_analysis tool do? +

Get behavioral analysis from procedural memory. Returns aggregate trading behavior stats: hold times, disposition ratio, lot sizing variance, and Kelly criterion comparison. Args: strategy_name: Filter by strategy name. Returns all if omitted. symbol: Filter by symbol. Returns all if omitted.. It is categorised as a Read tool in the Pypi:tradememory Protocol MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_behavioral_analysis? +

Register the Pypi:tradememory Protocol MCP server in PolicyLayer and add a rule for get_behavioral_analysis: 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 Pypi:tradememory Protocol. Nothing to install.

What risk level is get_behavioral_analysis? +

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

Can I rate-limit get_behavioral_analysis? +

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

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

get_behavioral_analysis is provided by the Pypi:tradememory Protocol MCP server (pypi:tradememory-protocol). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pypi:tradememory Protocol tool call.

Deterministic rules across all 15 Pypi:tradememory Protocol tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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