Add an observation to an existing memory entity.
AI agents use observe to create or update resources in Oceanir Memory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Oceanir Memory environment.
This tool modifies an existing entity by appending or updating an observation — a reversible write operation. It does not delete data or execute code. Misuse could pollute the agent's long-term memory with false or misleading observations, hence medium severity.
From the tool's definition Add an observation to an existing memory entity
Attacks that exploit this kind of access
Add an observation to an existing memory entity. It is categorised as a Write tool in the Oceanir Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Oceanir Memory MCP server in PolicyLayer and add a rule for observe: 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 Oceanir Memory. Nothing to install.
observe 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 observe 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 observe. 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.
observe is provided by the Oceanir Memory MCP server (oceanir/oceanir-memory). 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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