resolve_edit_context
Resolve current selection references into exact project objects and a concise prompt context for AI editing.
This record as markdown: /tools/cutpilot/resolve-edit-context.md
What resolve_edit_context does on Cutpilot
AI agents use resolve_edit_context to create or update resources in Cutpilot, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cutpilot environment.
Why resolve_edit_context is rated Medium
An AI agent can call resolve_edit_context faster than any human can review: one bad instruction and it creates or modifies resources in Cutpilot by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs resolve_edit_context safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cutpilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For resolve_edit_context, this is the rule to start with:
resolve_edit_context 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 Cutpilot, apply this rule, and every resolve_edit_context call is checked against it from then on.
Questions about resolve_edit_context
Resolve current selection references into exact project objects and a concise prompt context for AI editing. It is categorised as a Write tool in the Cutpilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cutpilot MCP server in PolicyLayer and add a rule for resolve_edit_context: 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 Cutpilot. Nothing to install.
resolve_edit_context 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 resolve_edit_context 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 resolve_edit_context. 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.
resolve_edit_context is provided by the Cutpilot MCP server (Hellotravisss/cutpilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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