AI agents use dynamic.tool.update to create or update resources in Dynamic — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dynamic environment.
The tool creates or modifies data (tool definitions) reversibly. While it does not delete or permanently destroy data, it changes the state of existing tools in the system.
From the tool's definition 'Update an existing dynamic tool definition' — modifies a tool's configuration, properties, or behavior. The description explicitly states the tool updates (modifies) an existing dynamic tool.
Attacks that exploit this kind of access
Update an existing dynamic tool definition. It is categorised as a Write tool in the Dynamic MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dynamic MCP server in PolicyLayer and add a rule for dynamic.tool.update: 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 Dynamic. Nothing to install.
dynamic.tool.update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the dynamic.tool.update 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 dynamic.tool.update. 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.
dynamic.tool.update is provided by the Dynamic MCP server (mcpland/dynamic-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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