Update an existing dashboard configuration.
AI agents use update_dashboard to create or update resources in MCP Server for Coroot — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Server for Coroot environment.
The tool modifies an existing dashboard configuration, which is a Write operation (creates or modifies data reversibly). It does not execute arbitrary code, delete data irreversibly, or move money. The blast radius is limited to dashboard configuration changes within the observability platform, which users can correct.
From the tool's definition Tool name 'update_dashboard' and description 'Update an existing dashboard configuration' indicate modification of dashboard settings. Update operations are reversible and do not delete data or trigger external code execution.
Documented attack patterns abuse exactly the kind of access update_dashboard gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Server for Coroot, and nothing reaches the server without passing your rules. This is the rule we recommend for update_dashboard:
{
"version": "1",
"default": "deny",
"tools": {
"update_dashboard": {
"limits": [
{
"counter": "update_dashboard_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_dashboard 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 dashboard configuration. It is categorised as a Write tool in the MCP Server for Coroot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Server for Coroot MCP server in PolicyLayer and add a rule for update_dashboard: 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 MCP Server for Coroot. Nothing to install.
update_dashboard 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_dashboard 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_dashboard. 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_dashboard is provided by the MCP Server for Coroot MCP server (jamesbrink/mcp-coroot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Server for Coroot, 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.
61 MCP Server for Coroot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.