AI agents use goclaw_agent_update to create or update resources in GoClaw MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GoClaw MCP Server environment.
The tool creates or modifies data reversibly by updating agent properties or settings. While not destructive (the change can be reverted by another update), it is more severe than a Read operation because it alters infrastructure state. In the GoClaw AI gateway context, agent updates could modify behavior, credentials, or operational parameters, making this a Write-category risk.
From the tool's definition Tool name and description explicitly state 'Update an existing agent' - this modifies agent configuration or state.
Documented attack patterns abuse exactly the kind of access goclaw_agent_update gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GoClaw MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for goclaw_agent_update:
{
"version": "1",
"default": "deny",
"tools": {
"goclaw_agent_update": {
"limits": [
{
"counter": "goclaw_agent_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}goclaw_agent_update stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Update an existing agent. It is categorised as a Write tool in the GoClaw MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GoClaw MCP Server MCP server in PolicyLayer and add a rule for goclaw_agent_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 GoClaw MCP Server. Nothing to install.
goclaw_agent_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 goclaw_agent_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 goclaw_agent_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.
goclaw_agent_update is provided by the GoClaw MCP Server MCP server (nextlevelbuilder/goclaw-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GoClaw MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
66 GoClaw MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.