run_query

Execute a query against the data warehouse

SERVERClaude MCP Server Ecosystem SOURCEcoder-rl/claude_mcpserver_dev1

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/coder-rl-claude-mcpserver-dev1/run-query.md

WHAT IT DOES

What run_query does on Claude MCP Server Ecosystem

AI agents invoke run_query to trigger actions in Claude MCP Server Ecosystem. 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.

RISK

Why run_query is rated High

This tool permits execution of queries against a data warehouse, which can have significant side effects depending on the query content (SELECT, UPDATE, DELETE, DROP, etc.). While the description does not explicitly state that destructive operations are allowed, the broad 'execute a query' capability suggests the tool accepts arbitrary SQL.

From the tool's definition Tool name 'run_query' combined with description 'Execute a query against the data warehouse' indicates execution of arbitrary queries against a database system. The verb 'Execute' in the description is explicit.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_query safely

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

run_query Rate-limited

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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_query": {
      "limits": [
        {
          "counter": "run_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every run_query call is checked against it from then on.

FAQ

Questions about run_query

What does the run_query tool do? +

Execute a query against the data warehouse. It is categorised as a Execute tool in the Claude MCP Server Ecosystem 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_query? +

Register the Claude MCP Server Ecosystem 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 Claude MCP Server Ecosystem. Nothing to install.

What risk level is run_query? +

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

Can I rate-limit run_query? +

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.

How do I block run_query completely? +

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.

What MCP server provides run_query? +

run_query is provided by the Claude MCP Server Ecosystem MCP server (coder-rl/claude_mcpserver_dev1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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