Get AI-powered suggestions for the next task to work on based on current project context and priorities.
AI agents call suggest_next_task to retrieve information from AgentCortex MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool queries project context and memory to generate suggestions, which is fundamentally a Read operation. It has no capacity to create, modify, delete data, or execute external commands. The worst-case misuse would be an AI agent receiving irrelevant task suggestions, which has minimal blast radius. No destructive, financial, or execution capabilities are present.
From the tool's definition Tool description states it 'Get[s] AI-powered suggestions for the next task to work on' — a pure information retrieval operation with no data modification, deletion, or external side effects.
Attacks that exploit this kind of access
Get AI-powered suggestions for the next task to work on based on current project context and priorities. It is categorised as a Read tool in the AgentCortex MCP MCP Server, which means it retrieves data without modifying state.
Register the AgentCortex MCP server in PolicyLayer and add a rule for suggest_next_task: 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 AgentCortex MCP. Nothing to install.
suggest_next_task 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 suggest_next_task 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 suggest_next_task. 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.
suggest_next_task is provided by the AgentCortex MCP server (sage-hq/agentcortex-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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