refine_composition
Refine an existing chunk-composed UI based on a natural-language intent or an explicit op-list. Use when the user wants to modify an *existing* UI. Triggers on
This record as markdown: /tools/adia-ai-mcp/refine-composition.md
What refine_composition does on Adia Ai
AI agents use refine_composition to create or update resources in Adia Ai, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adia Ai environment.
Why refine_composition is rated Medium
An AI agent can call refine_composition faster than any human can review: one bad instruction and it creates or modifies resources in Adia Ai by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs refine_composition safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Adia Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For refine_composition, this is the rule to start with:
refine_composition 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 Adia Ai, apply this rule, and every refine_composition call is checked against it from then on.
Questions about refine_composition
Refine an existing chunk-composed UI based on a natural-language intent or an explicit op-list. Use when the user wants to modify an *existing* UI. Triggers on. It is categorised as a Write tool in the Adia Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Adia Ai MCP server in PolicyLayer and add a rule for refine_composition: 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 Adia Ai. Nothing to install.
refine_composition 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 refine_composition 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 refine_composition. 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.
refine_composition is provided by the Adia Ai MCP server (@adia-ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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