save
A write tool on the Agent Jail MCP server.
This record as markdown: /tools/agent-jail-mcp/save.md
What save does on Agent Jail
AI agents use save to create or update resources in Agent Jail, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent Jail environment.
Why save is rated Medium
The name 'save' suggests writing or persisting data, placing it in the Write category. Without a description, confidence is reduced but the name itself indicates a modification operation. Severity is medium because the blast radius depends on what data is being saved and whether it can be recovered; without specifics, a moderate risk level is appropriate.
From the tool's definition Tool name is 'save', which conventionally creates or modifies data. No description provided to clarify scope or reversibility.
Attacks that exploit this kind of access
The rule that runs save safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agent Jail, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save, this is the rule to start with:
save 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 Agent Jail, apply this rule, and every save call is checked against it from then on.
Questions about save
save is a write tool on the Agent Jail MCP server. It is categorised as a Write tool in the Agent Jail MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Jail MCP server in PolicyLayer and add a rule for save: 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 Agent Jail. Nothing to install.
save 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 save 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 save. 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.
save is provided by the Agent Jail MCP server (idiscoord13-sketch/agent-jail-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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