Update a plugin for an agent.
AI agents use update_plugin to create or update resources in CustomGPT MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CustomGPT MCP Server environment.
This tool modifies plugin settings for an agent, which is a Write operation (data modification without permanent deletion). The severity is medium because while plugin updates affect agent behavior and could introduce malicious plugins or alter functionality, the changes are reversible and typically scoped to specific agent configurations.
From the tool's definition Tool name 'update_plugin' and description 'Update a plugin for an agent' indicate modification of existing plugin configuration or settings. The action is reversible—updates can be modified or reverted—distinguishing it from destructive operations.
Attacks that exploit this kind of access
Update a plugin for an agent. It is categorised as a Write tool in the CustomGPT MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CustomGPT MCP Server MCP server in PolicyLayer and add a rule for update_plugin: 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 CustomGPT MCP Server. Nothing to install.
update_plugin 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 update_plugin 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 update_plugin. 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.
update_plugin is provided by the CustomGPT MCP Server MCP server (poll-the-people/customgpt-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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