run_query

run_query

Server Nasa Exoplanet saikrmet/nasa-exoplanet-mcp
Category Execute
Risk class High
Parameters 00 required

What run_query does on Nasa Exoplanet

AI agents invoke run_query to trigger actions in Nasa Exoplanet. 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_query needs a policy

A 'run_query' tool on a database server falls into Execute category because it triggers operations whose effects depend entirely on the query arguments provided. While the NASA Exoplanet Archive is read-only public data (limiting destructive risk), an AI agent could be tricked into running computationally expensive queries, exfiltrating large datasets, or accessing unintended information.

From the tool's definition Tool name 'run_query' on a NASA Exoplanet Archive database server with no description provided suggests execution of arbitrary database queries.

Questions about run_query

What does the run_query tool do? +

run_query. It is categorised as a Execute tool in the Nasa Exoplanet 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 Nasa Exoplanet 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 Nasa Exoplanet. 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 Nasa Exoplanet MCP server (saikrmet/nasa-exoplanet-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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