run_escalation_check
A execute tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/run-escalation-check.md
What run_escalation_check does on Mapi Agent Memory
AI agents invoke run_escalation_check to trigger actions in Mapi Agent Memory. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why run_escalation_check is rated High
The 'run_' prefix and 'escalation_check' terminology indicate this tool executes a process to evaluate or trigger escalation logic within an AI agent memory governance system. While not destructive (does not delete/overwrite) or financial, it triggers execution of conditional logic whose effects depend on runtime state.
From the tool's definition Tool name 'run_escalation_check' uses imperative verb 'run' combined with 'escalation' and 'check', suggesting execution of a check/evaluation process. Description is empty, limiting certainty of exact behavior.
Attacks that exploit this kind of access
The rule that runs run_escalation_check 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 run_escalation_check, this is the rule to start with:
run_escalation_check stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 run_escalation_check call is checked against it from then on.
Questions about run_escalation_check
run_escalation_check is a execute tool on the Mapi Agent Memory MCP server. It is categorised as a Execute tool in the Mapi Agent Memory MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for run_escalation_check: 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.
run_escalation_check is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_escalation_check 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 run_escalation_check. 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.
run_escalation_check 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.
More on Mapi Agent Memory, and thousands of servers like it.
Across the catalogue