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run_dashboard_query

Run a scheduled dashboard query immediately instead of waiting for the daily refresh. Writes the result to the app

SERVERDeloc SOURCEdelocdev/deloc-mcp
High RISK CLASS
Category Execute
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/run-dashboard-query.md

What run_dashboard_query does on Deloc

AI agents invoke run_dashboard_query to trigger actions in Deloc. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Why run_dashboard_query is rated High

This tool triggers execution of a query with observable side effects (writing results to the app), which goes beyond passive data retrieval. While it modifies app state by writing query results, it is not irreversible (results can be re-run or overwritten) and does not delete data, so Execute is more appropriate than Destructive or Write.

From the tool's definition Tool name 'run_dashboard_query' paired with description stating it 'Run[s] a scheduled dashboard query immediately' and 'Writes the result to the app'.

Questions about run_dashboard_query

What does the run_dashboard_query tool do? +

Run a scheduled dashboard query immediately instead of waiting for the daily refresh. Writes the result to the app. It is categorised as a Execute tool in the Deloc MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_dashboard_query? +

Register the Deloc MCP server in PolicyLayer and add a rule for run_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 run_dashboard_query? +

run_dashboard_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_dashboard_query? +

Yes. Add a rate_limit block to the run_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 run_dashboard_query completely? +

Set action: deny in the PolicyLayer policy for run_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 run_dashboard_query? +

run_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.

More on Deloc, and thousands of servers like it.

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