Get completed tasks for a specific date using efficient API filtering
AI agents call get_completed_tasks_for_date to retrieve information from Amazing Marvin MCP 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 historical task completion data for a specified date. It performs no modifications, deletions, or execution of external operations—it only retrieves existing information from the Amazing Marvin system. The use of 'Get' and 'filtering' confirm this is a read-only operation with minimal security risk.
From the tool's definition Tool name 'get_completed_tasks_for_date' and description 'Get completed tasks for a specific date using efficient API filtering' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get completed tasks for a specific date using efficient API filtering. It is categorised as a Read tool in the Amazing Marvin MCP MCP Server, which means it retrieves data without modifying state.
Register the Amazing Marvin MCP server in PolicyLayer and add a rule for get_completed_tasks_for_date: 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 Amazing Marvin MCP. Nothing to install.
get_completed_tasks_for_date 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_completed_tasks_for_date 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_completed_tasks_for_date. 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_completed_tasks_for_date is provided by the Amazing Marvin MCP server (qemqemqem/amazing-marvin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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