get_daily_productivity_overview
AI agents call get_daily_productivity_overview 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 retrieves productivity data for display/reporting purposes. No modification, deletion, execution, or financial impact indicated. The 'get_' prefix and consistency with sibling 'get_*' tools confirm it as a Read operation. Severity is low because viewing productivity data poses minimal risk even if accessed inappropriately.
From the tool's definition Tool name 'get_daily_productivity_overview' indicates a retrieval operation consistent with other Read-category tools on this server (e.g., 'get_account_info', 'get_all_tasks', 'get_categories').
Attacks that exploit this kind of access
get_daily_productivity_overview. 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_daily_productivity_overview: 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_daily_productivity_overview 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_daily_productivity_overview 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_daily_productivity_overview. 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_daily_productivity_overview 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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