Get workspace KPIs — total memories, searches, tokens used — with comparison to the previous period. Use when the user asks for usage statistics or wants an overview of the workspace activity.
AI agents call get_dashboard_summary to retrieve information from Memsolus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays aggregate metrics (memory count, search volume, token usage) and historical comparisons without modifying, deleting, executing commands, or moving money. It has no side effects—purely informational querying of existing dashboard data. Severity is low because misuse would only expose usage metadata, not sensitive data or enable harmful actions.
From the tool's definition Tool provides retrieval of workspace KPIs, usage statistics, and activity overviews with period comparisons. Terms like 'Get' and description indicating data retrieval ('asks for usage statistics') indicate a read-only operation.
Attacks that exploit this kind of access
Get workspace KPIs — total memories, searches, tokens used — with comparison to the previous period. Use when the user asks for usage statistics or wants an overview of the workspace activity. It is categorised as a Read tool in the Memsolus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Memsolus MCP Server MCP server in PolicyLayer and add a rule for get_dashboard_summary: 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 Memsolus MCP Server. Nothing to install.
get_dashboard_summary 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_dashboard_summary 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_dashboard_summary. 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_dashboard_summary is provided by the Memsolus MCP Server MCP server (memsolus/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →