List tasks, optionally filtered by goal or status.
AI agents call list_tasks to retrieve information from Agent Runtime without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves task data based on optional filters. It performs no modifications, deletions, or external operations. The action is informational only, making it a Read category tool with low severity.
From the tool's definition Tool name 'list_tasks' and description 'List tasks, optionally filtered by goal or status' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List tasks, optionally filtered by goal or status. It is categorised as a Read tool in the Agent Runtime MCP Server, which means it retrieves data without modifying state.
Register the Agent Runtime MCP server in PolicyLayer and add a rule for list_tasks: 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 Agent Runtime. Nothing to install.
list_tasks 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 list_tasks 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 list_tasks. 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.
list_tasks is provided by the Agent Runtime MCP server (marc-shade/agent-runtime-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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