This record as markdown: /tools/io-github-portel-dev-ncp/create-completion.md
What create_completion does on Ncp
AI agents invoke create_completion to trigger actions in Ncp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why create_completion is rated High
This tool invokes an external service (OpenAI API) to generate a completion. It is not a simple read (it sends data and triggers computation), nor does it write/delete local data. It falls under Execute because it triggers an external operation whose effects depend on the arguments passed (prompt, model, parameters). Misuse could lead to unintended content generation, prompt injection, or unexpected API costs.
From the tool's definition "Create OpenAI completion" — triggers an external API call to OpenAI, executing a language model inference operation
Attacks that exploit this kind of access
The rule that runs create_completion safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_completion, this is the rule to start with:
create_completion stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ncp, apply this rule, and every create_completion call is checked against it from then on.
Questions about create_completion
Create OpenAI completion. It is categorised as a Execute tool in the Ncp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ncp MCP server in PolicyLayer and add a rule for create_completion: 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 Ncp. Nothing to install.
create_completion is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the create_completion 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_completion. 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_completion is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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