update_policy_rule

Updates an existing rule within a policy.

Server Privy MCP Server privy-io/privy-mcp-server
Category Write
Risk class Medium
Parameters 00 required

What update_policy_rule does on Privy MCP Server

AI agents use update_policy_rule to create or update resources in Privy MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Privy MCP Server environment.

Why update_policy_rule needs a policy

This tool modifies existing policy rules reversibly (update operation), making it a Write category action rather than Read (no retrieval) or Destructive (reversible). Severity is high because misconfigured policies could allow unauthorized transactions or wallet access, creating significant financial and security risk in a blockchain context where AI agents control wallets and signing operations.

From the tool's definition Tool name 'update_policy_rule' and description 'Updates an existing rule within a policy' indicate modification of policy configuration. In the context of a blockchain wallet management server, policies control transaction authorization and security rules.

Questions about update_policy_rule

What does the update_policy_rule tool do? +

Updates an existing rule within a policy. It is categorised as a Write tool in the Privy MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_policy_rule? +

Register the Privy MCP Server MCP server in PolicyLayer and add a rule for update_policy_rule: 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 Privy MCP Server. Nothing to install.

What risk level is update_policy_rule? +

update_policy_rule is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_policy_rule? +

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

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

update_policy_rule is provided by the Privy MCP Server MCP server (privy-io/privy-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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