upsert_sla_policy
A write tool on the Mapi Agent Memory MCP server.
This record as markdown: /tools/mapi-agent-memory/upsert-sla-policy.md
What upsert_sla_policy does on Mapi Agent Memory
AI agents use upsert_sla_policy to create or update resources in Mapi Agent Memory, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mapi Agent Memory environment.
Why upsert_sla_policy is rated Medium
Upsert operations create or modify data reversibly—a core Write action. The tool operates within a governance and memory framework (mapi-agent-memory), suggesting it affects policy records rather than irreversible deletions or financial transactions. Confidence is moderate due to empty description; if it modifies critical SLAs affecting agent behavior or compliance, severity could be higher.
From the tool's definition Tool name 'upsert_sla_policy' indicates creation or modification ('upsert') of SLA policy data. Description is empty, limiting certainty.
Attacks that exploit this kind of access
The rule that runs upsert_sla_policy 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 upsert_sla_policy, this is the rule to start with:
upsert_sla_policy stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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 upsert_sla_policy call is checked against it from then on.
Questions about upsert_sla_policy
upsert_sla_policy is a write tool on the Mapi Agent Memory MCP server. It is categorised as a Write tool in the Mapi Agent Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for upsert_sla_policy: 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.
upsert_sla_policy is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the upsert_sla_policy 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 upsert_sla_policy. 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.
upsert_sla_policy 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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