create_llms_txt
AI agents use create_llms_txt to create or update resources in MCP Package Hero — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Package Hero environment.
The tool creates or writes a file (llms.txt), which is a reversible data modification operation. Without a description, confidence is reduced, but the 'create_' prefix and context of a package quality rating server suggests it generates documentation or metadata.
From the tool's definition Tool name 'create_llms_txt' indicates creation/generation of an llms.txt file, a write operation that modifies or generates data.
Attacks that exploit this kind of access
create_llms_txt. It is categorised as a Write tool in the MCP Package Hero MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Package Hero MCP server in PolicyLayer and add a rule for create_llms_txt: 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 MCP Package Hero. Nothing to install.
create_llms_txt 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 create_llms_txt 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 create_llms_txt. 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.
create_llms_txt is provided by the MCP Package Hero MCP server (moinsen-dev/mcp-package-hero). 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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