This record as markdown: /tools/adia-ai-mcp/scaffold-component.md
What scaffold_component does on Adia Ai
AI agents use scaffold_component 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 scaffold_component is rated Medium
Based on the server description which explicitly lists 'scaffolding' as a key capability, 'scaffold_component' most likely generates and writes boilerplate/template files for a new strategy component. This is a Write operation (creates new files/code structures). Confidence is moderate because the description is empty and no details are provided about whether it writes to disk or merely returns generated text.
From the tool's definition Tool name 'scaffold_component'; description is empty. Server context mentions 'scaffolding' as a core feature alongside strategy validation and codegen.
Attacks that exploit this kind of access
The rule that runs scaffold_component 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 scaffold_component, this is the rule to start with:
scaffold_component 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 scaffold_component call is checked against it from then on.
Questions about scaffold_component
scaffold_component is a write tool on the Adia Ai MCP server. 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 scaffold_component: 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.
scaffold_component 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 scaffold_component 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 scaffold_component. 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.
scaffold_component 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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