create_dashboard_query

A write tool on the Deloc MCP server.

SERVERDeloc SOURCEdelocdev/deloc-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/deloc-mcp/create-dashboard-query.md

WHAT IT DOES

What create_dashboard_query does on Deloc

AI agents use create_dashboard_query to create or update resources in Deloc, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Deloc environment.

RISK

Why create_dashboard_query is rated Medium

An AI agent can call create_dashboard_query faster than any human can review: one bad instruction and it creates or modifies resources in Deloc by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_dashboard_query safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Deloc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_dashboard_query, this is the rule to start with:

create_dashboard_query Rate-limited

create_dashboard_query 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_dashboard_query": {
      "limits": [
        {
          "counter": "create_dashboard_query_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Deloc, apply this rule, and every create_dashboard_query call is checked against it from then on.

FAQ

Questions about create_dashboard_query

What does the create_dashboard_query tool do? +

create_dashboard_query is a write tool on the Deloc MCP server. It is categorised as a Write tool in the Deloc MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_dashboard_query? +

Register the Deloc MCP server in PolicyLayer and add a rule for create_dashboard_query: 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 Deloc. Nothing to install.

What risk level is create_dashboard_query? +

create_dashboard_query is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_dashboard_query? +

Yes. Add a rate_limit block to the create_dashboard_query 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.

How do I block create_dashboard_query completely? +

Set action: deny in the PolicyLayer policy for create_dashboard_query. 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.

What MCP server provides create_dashboard_query? +

create_dashboard_query is provided by the Deloc MCP server (delocdev/deloc-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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