Low Risk

recall_similar_trades

Find past trades with similar market context. Use this before making a trade to learn from past experience. Returns trades with their reflections and outcomes. Uses OWM scoring when episodic memories exist, falls back to keyword matching. Args: symbol: Trading instrument to filter by (e.g. ...

Part of the Tradememory Protocol MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call recall_similar_trades to retrieve information from 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 recall_similar_trades 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.

mnemox-ai-tradememory-protocol.yaml
tools:
  recall_similar_trades:
    rules:
      - action: allow

See the full Tradememory Protocol policy for all 15 tools.

Tool Name recall_similar_trades
Category Read
Risk Level Low

View all 15 tools →

Agents calling read-class tools like recall_similar_trades have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the recall_similar_trades tool do? +

Find past trades with similar market context. Use this before making a trade to learn from past experience. Returns trades with their reflections and outcomes. Uses OWM scoring when episodic memories exist, falls back to keyword matching. Args: symbol: Trading instrument to filter by (e.g. "XAUUSD") market_context: Current market conditions to match against strategy_name: Optional strategy filter limit: Max number of results (default 5). It is categorised as a Read tool in the Tradememory Protocol MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recall_similar_trades? +

Add a rule in your Intercept YAML policy under the tools section for recall_similar_trades. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Tradememory Protocol MCP server.

What risk level is recall_similar_trades? +

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

Can I rate-limit recall_similar_trades? +

Yes. Add a rate_limit block to the recall_similar_trades rule in your Intercept 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 recall_similar_trades completely? +

Set action: deny in the Intercept policy for recall_similar_trades. 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 recall_similar_trades? +

recall_similar_trades is provided by the Tradememory Protocol MCP server (mnemox-ai/tradememory-protocol). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Tradememory Protocol

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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