gemma_worker_report
A read tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/gemma-worker-report.md
What gemma_worker_report does on Mapi Agent Memory
AI agents call gemma_worker_report to retrieve information from Mapi Agent Memory without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why gemma_worker_report is rated Low
The tool name pattern suggests data retrieval (generating/reporting a worker status), which aligns with Read category. The empty description and sibling tools focused on memory governance provide insufficient specific evidence of side effects. Without explicit evidence of modification, deletion, or external execution, defaulting to the least severe plausible category.
From the tool's definition Tool name 'gemma_worker_report' suggests report generation or status retrieval. Description is empty, limiting confidence.
Attacks that exploit this kind of access
The rule that runs gemma_worker_report safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mapi Agent Memory, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gemma_worker_report, this is the rule to start with:
gemma_worker_report is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mapi Agent Memory, apply this rule, and every gemma_worker_report call is checked against it from then on.
Questions about gemma_worker_report
gemma_worker_report is a read tool on the Mapi Agent Memory MCP server. It is categorised as a Read tool in the Mapi Agent Memory MCP Server, which means it retrieves data without modifying state.
Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for gemma_worker_report: 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 Mapi Agent Memory. Nothing to install.
gemma_worker_report 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 gemma_worker_report 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 gemma_worker_report. 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.
gemma_worker_report is provided by the Mapi Agent Memory MCP server (cabo0m/mapi-agent-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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