execute_query

execute_query

Server Mcp Odbc phil-cheesman/mcp-odbc
Category Execute
Risk class High
Parameters 00 required

What execute_query does on Mcp Odbc

AI agents invoke execute_query to trigger actions in Mcp Odbc. 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 execute_query needs a policy

execute_query on an ODBC server can run arbitrary SQL queries against databases. While the server defaults to read-only, write access is configurable per-connection, and the tool could execute CREATE, UPDATE, INSERT, or DELETE statements. This makes it Execute-category (not Write alone) because the actual effects depend entirely on the query argument and connection permissions.

From the tool's definition Tool name 'execute_query' combined with server description stating it 'exposes schema discovery + query tools' and can connect to 'any ODBC data source'.

Questions about execute_query

What does the execute_query tool do? +

execute_query. It is categorised as a Execute tool in the Mcp Odbc MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_query? +

Register the Mcp Odbc MCP server in PolicyLayer and add a rule for execute_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 Mcp Odbc. Nothing to install.

What risk level is execute_query? +

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

Can I rate-limit execute_query? +

Yes. Add a rate_limit block to the execute_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 execute_query completely? +

Set action: deny in the PolicyLayer policy for execute_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 execute_query? +

execute_query is provided by the Mcp Odbc MCP server (phil-cheesman/mcp-odbc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.