AI agents invoke run_query to trigger actions in Libreoffice. 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.
The tool executes arbitrary queries against data sources, which fits Execute category. While the description is empty, the name 'run_query' in a LibreOffice context with stated 'database operations' support indicates code/query execution. This is high severity because uncontrolled query execution can access or modify sensitive data, cause resource exhaustion, or trigger unintended side effects.
From the tool's definition Tool name 'run_query' combined with context of 'database operations' in server description; tool enables execution of database queries against LibreOffice documents/data.
Documented attack patterns abuse exactly the kind of access run_query gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Libreoffice, and nothing reaches the server without passing your rules. This is the rule we recommend for run_query:
{
"version": "1",
"default": "deny",
"tools": {
"run_query": {
"limits": [
{
"counter": "run_query_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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run_query. It is categorised as a Execute tool in the Libreoffice MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Libreoffice MCP server in PolicyLayer and add a rule for run_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 Libreoffice. Nothing to install.
run_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_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.
Set action: deny in the PolicyLayer policy for run_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.
run_query is provided by the Libreoffice MCP server (waterpistolai/libreoffice-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Libreoffice, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 Libreoffice tools catalogued and risk-classified — across an index of 43,000+ MCP servers.