Save session context before ending work or when significant progress is made. Records what was accomplished, decisions made, and what should happen next. This ensures the next AI session (in any tool) can pick up seamlessly.
AI agents use mindswap_save_context to create or update resources in Mindswap — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mindswap environment.
The tool creates and modifies session context data in a local-first memory system. This is a reversible write operation — context can be overwritten or cleared in subsequent sessions. It does not execute code, delete data irreversibly, or involve financial transactions.
From the tool's definition Tool description explicitly states 'Save session context' and 'Records what was accomplished, decisions made, and what should happen next' — this is data creation/modification. The tool writes persistent state to a memory/context store.
Attacks that exploit this kind of access
Save session context before ending work or when significant progress is made. Records what was accomplished, decisions made, and what should happen next. This ensures the next AI session (in any tool) can pick up seamlessly. It is categorised as a Write tool in the Mindswap MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mindswap MCP server in PolicyLayer and add a rule for mindswap_save_context: 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 Mindswap. Nothing to install.
mindswap_save_context 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 mindswap_save_context 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 mindswap_save_context. 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.
mindswap_save_context is provided by the Mindswap MCP server (mindswap). 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.
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