portfolio.optimize
Analyze your open positions and generate optimization recommendations based on your chosen strategy (conservative, balanced, or aggressive). Returns SL/TP suggestions, concentration warnings, and cut/hold/take-profit actions for each position.
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What portfolio.optimize does on Polymarket Agent Mcp
AI agents call portfolio.optimize to retrieve information from Polymarket Agent Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why portfolio.optimize is rated Low
The tool analyzes positions and returns recommendations/suggestions — it does not execute trades, modify positions, or move money. However, severity is medium because it operates in a financial trading context, and the recommendations could be acted upon by an AI agent. The description uses 'generate recommendations' and 'Returns... suggestions/actions' language, indicating read/analysis only, not execution.
From the tool's definition Analyze your open positions and generate optimization recommendations... Returns SL/TP suggestions, concentration warnings, and cut/hold/take-profit actions
Attacks that exploit this kind of access
The rule that runs portfolio.optimize safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Polymarket Agent Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For portfolio.optimize, this is the rule to start with:
portfolio.optimize is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Polymarket Agent Mcp, apply this rule, and every portfolio.optimize call is checked against it from then on.
Questions about portfolio.optimize
Analyze your open positions and generate optimization recommendations based on your chosen strategy (conservative, balanced, or aggressive). Returns SL/TP suggestions, concentration warnings, and cut/hold/take-profit actions for each position. It is categorised as a Read tool in the Polymarket Agent Mcp MCP Server, which means it retrieves data without modifying state.
Register the Polymarket Agent MCP server in PolicyLayer and add a rule for portfolio.optimize: 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 Polymarket Agent Mcp. Nothing to install.
portfolio.optimize is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the portfolio.optimize 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.
Set action: deny in the PolicyLayer policy for portfolio.optimize. 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.
portfolio.optimize is provided by the Polymarket Agent MCP server (demwick/polymarket-agent-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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