manage_annotation
Self-document a network: create a titled annotation box, set an op
This record as markdown: /tools/hybridlabor-api-aos/manage-annotation.md
What manage_annotation does on Aos
AI agents use manage_annotation to create or update resources in Aos, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aos environment.
Why manage_annotation is rated Medium
Creates documentation/metadata annotations, reversible modifications without destructive effects or external execution.
From the tool's definition create a titled annotation box, set an op
Attacks that exploit this kind of access
The rule that runs manage_annotation safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For manage_annotation, this is the rule to start with:
manage_annotation 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 Aos, apply this rule, and every manage_annotation call is checked against it from then on.
Questions about manage_annotation
Self-document a network: create a titled annotation box, set an op. It is categorised as a Write tool in the Aos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aos MCP server in PolicyLayer and add a rule for manage_annotation: 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 Aos. Nothing to install.
manage_annotation 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 manage_annotation 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 manage_annotation. 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.
manage_annotation is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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