get_sandman_gemma_shadow_report
Return recent Sandman Gemma preview/shadow runs and agreement metrics. Read-only.
This record as markdown: /tools/mapi-agent-memory/get-sandman-gemma-shadow-report.md
What get_sandman_gemma_shadow_report does on Mapi Agent Memory
AI agents call get_sandman_gemma_shadow_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 get_sandman_gemma_shadow_report is rated Low
This is a straightforward data retrieval operation that queries historical information about Sandman Gemma preview runs and agreement metrics. The 'Read-only' designation confirms no data is created, modified, deleted, or any external operations are triggered. The low severity reflects minimal blast radius—querying historical metrics poses negligible risk even if accessed by a malicious agent.
From the tool's definition Tool name includes 'get_' and description explicitly states 'Read-only.' The operation returns/retrieves recent run data and metrics with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs get_sandman_gemma_shadow_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 get_sandman_gemma_shadow_report, this is the rule to start with:
get_sandman_gemma_shadow_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 get_sandman_gemma_shadow_report call is checked against it from then on.
Questions about get_sandman_gemma_shadow_report
Return recent Sandman Gemma preview/shadow runs and agreement metrics. Read-only. 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 get_sandman_gemma_shadow_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.
get_sandman_gemma_shadow_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 get_sandman_gemma_shadow_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 get_sandman_gemma_shadow_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.
get_sandman_gemma_shadow_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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