gemma_worker_get_job
A read tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/gemma-worker-get-job.md
What gemma_worker_get_job does on Mapi Agent Memory
AI agents call gemma_worker_get_job 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_get_job is rated Low
The 'get' pattern strongly suggests retrieval of job information without side effects. However, confidence is moderate due to the empty description and lack of clarity on what 'gemma_worker' refers to. Without evidence of modification, deletion, or execution, this is classified as Read. The context of an agent memory/governance system suggests this retrieves job state rather than executing jobs.
From the tool's definition Tool name 'gemma_worker_get_job' uses the 'get' verb, which typically indicates data retrieval. No description provided to clarify behavior.
Attacks that exploit this kind of access
The rule that runs gemma_worker_get_job 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_get_job, this is the rule to start with:
gemma_worker_get_job 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_get_job call is checked against it from then on.
Questions about gemma_worker_get_job
gemma_worker_get_job 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_get_job: 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_get_job 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_get_job 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_get_job. 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_get_job 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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