Enhance your prompt using the full context of your ongoing project conversation
AI agents use enhance_prompt_with_context to create or update resources in Prompt Architect — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Prompt Architect environment.
This tool takes an existing prompt and enhances it by incorporating contextual information from an ongoing conversation. The modification is reversible—the original prompt can be recovered or alternatives generated. There is no code execution, data deletion, or financial impact.
From the tool's definition Tool name and description indicate it modifies/enhances prompts: 'Enhance your prompt using the full context of your ongoing project conversation'.
Attacks that exploit this kind of access
Enhance your prompt using the full context of your ongoing project conversation. It is categorised as a Write tool in the Prompt Architect MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Prompt Architect MCP server in PolicyLayer and add a rule for enhance_prompt_with_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 Prompt Architect. Nothing to install.
enhance_prompt_with_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 enhance_prompt_with_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 enhance_prompt_with_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.
enhance_prompt_with_context is provided by the Prompt Architect MCP server (prompt-architect-mcp). 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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