character_remember
Save a reusable character (person, pet, mascot) from 1–3 reference photos. The character
This record as markdown: /tools/cloud-easybits-easybits/character-remember.md
What character_remember does on EasyBits
AI agents use character_remember to create or update resources in EasyBits, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your EasyBits environment.
Why character_remember is rated Medium
Stores character data persistently but reversibly; no deletion or execution involved.
From the tool's definition Save a reusable character from reference photos
Attacks that exploit this kind of access
The rule that runs character_remember safely
PolicyLayer is an MCP gateway: it sits between your AI agents and EasyBits, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For character_remember, this is the rule to start with:
character_remember 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 EasyBits, apply this rule, and every character_remember call is checked against it from then on.
Questions about character_remember
Save a reusable character (person, pet, mascot) from 1–3 reference photos. The character. It is categorised as a Write tool in the EasyBits MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the EasyBits MCP server in PolicyLayer and add a rule for character_remember: 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 EasyBits. Nothing to install.
character_remember 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 character_remember 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 character_remember. 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.
character_remember is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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