AI agents call list_dashboards to retrieve information from MCP Server for Coroot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries dashboard information without creating, modifying, deleting, or executing any operations. It is a straightforward read-only operation that has no blast radius if misused by an AI agent, as it only exposes existing configuration data.
From the tool's definition Tool name is 'list_dashboards' and description states it 'List all custom dashboards for a project.' The verb 'list' indicates retrieval of existing data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access list_dashboards 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 list_dashboards:
{
"version": "1",
"default": "deny",
"tools": {
"list_dashboards": {}
}
} list_dashboards is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all custom dashboards for a project. It is categorised as a Read tool in the MCP Server for Coroot MCP Server, which means it retrieves data without modifying state.
Register the MCP Server for Coroot MCP server in PolicyLayer and add a rule for list_dashboards: 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.
list_dashboards is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_dashboards 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 list_dashboards. 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.
list_dashboards 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.
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61 MCP Server for Coroot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.