process_query
AI agents invoke process_query to trigger actions in Sentient Brain Smithery. 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 description is empty, which significantly lowers confidence. However, 'process_query' in the context of a multi-agent AI system with SurrealDB (a database) and orchestration capabilities suggests it likely executes queries against the database or triggers agent pipelines. Given sibling tools like 'run_diagnostics' and 'analyze_codebase', this tool likely executes some form of query or processing operation.
From the tool's definition Tool name 'process_query' combined with server context involving 'run_diagnostics', 'analyze_codebase', and SurrealDB/Groq execution capabilities.
Attacks that exploit this kind of access
process_query. It is categorised as a Execute tool in the Sentient Brain Smithery MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sentient Brain Smithery MCP server in PolicyLayer and add a rule for process_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 Sentient Brain Smithery. Nothing to install.
process_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 process_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 process_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.
process_query is provided by the Sentient Brain Smithery MCP server (mbpfws/sentient-brain-smithery). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the 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.
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