AI agents call get_active_goals to retrieve information from AGI-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves/queries stored goal data from the persistent SQLite memory system. It has no side effects, does not modify data, and does not execute commands or trigger external operations. This is a straightforward read operation typical of information retrieval tasks.
From the tool's definition Tool name 'get_active_goals' and description 'Retrieve all active goals from memory' indicate a data retrieval operation with no modification or execution of external effects.
Attacks that exploit this kind of access
Retrieve all active goals from memory. It is categorised as a Read tool in the AGI-MCP MCP Server, which means it retrieves data without modifying state.
Register the AGI- MCP server in PolicyLayer and add a rule for get_active_goals: 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 AGI-MCP. Nothing to install.
get_active_goals 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_active_goals 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_active_goals. 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_active_goals is provided by the AGI- MCP server (muah1987/agi-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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