AI agents call get_analysis_packet to retrieve information from DPSCoach without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns analysis data without modifying, deleting, or executing arbitrary operations. The emphasis on 'safe SELECT templates' confirms it operates within constrained read boundaries. The blast radius of misuse is minimal—an agent could only receive unwanted analysis output, not alter game data or trigger external actions. Classified as Read with low severity.
From the tool's definition Description states 'Return a coach-ready analysis packet using only safe SELECT templates.' The explicit constraint to 'only safe SELECT templates' and the absence of write, delete, or execute capabilities indicate this is a read-only operation that retrieves…
Attacks that exploit this kind of access
Return a coach-ready analysis packet using only safe SELECT templates. It is categorised as a Read tool in the DPSCoach MCP Server, which means it retrieves data without modifying state.
Register the DPSCoach MCP server in PolicyLayer and add a rule for get_analysis_packet: 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 DPSCoach. Nothing to install.
get_analysis_packet is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_analysis_packet 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 get_analysis_packet. 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.
get_analysis_packet is provided by the DPSCoach MCP server (stalcup-dev/tl-dps-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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