AI agents invoke cap_query to trigger actions in Sflight. 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 queries against a live CAP service. While named 'query', execution of CQL/OData queries can include write or destructive operations depending on the query content (e.g., DELETE, UPDATE statements in CQL). Even if limited to reads, running arbitrary queries against a live service constitutes Execute-level risk.
From the tool's definition "Execute a CQL or OData-style query against the running CAP service"
Attacks that exploit this kind of access
Execute a CQL or OData-style query against the running CAP service. It is categorised as a Execute tool in the Sflight MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sflight MCP server in PolicyLayer and add a rule for cap_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 Sflight. Nothing to install.
cap_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 cap_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 cap_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.
cap_query is provided by the Sflight MCP server (mindsetconsulting/sflight-mcp). 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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