This record as markdown: /tools/io-github-portel-dev-ncp/lambda-invoke.md
What lambda_invoke does on Ncp
AI agents invoke lambda_invoke 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 lambda_invoke is rated High
Invoking Lambda functions is a code execution operation where the blast radius depends entirely on what the invoked Lambda does (could read data, modify systems, call external services, delete resources, etc.). This is classified as Execute rather than a more severe category because the actual destructive capability depends on the specific Lambda being invoked, not the tool itself.
From the tool's definition Tool name 'lambda_invoke' and description 'Invoke a Lambda function' directly indicate execution of arbitrary AWS Lambda functions. Lambda functions can run arbitrary code with effects determined by function arguments and configuration.
Attacks that exploit this kind of access
The rule that runs lambda_invoke 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 lambda_invoke, this is the rule to start with:
lambda_invoke 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 lambda_invoke call is checked against it from then on.
Questions about lambda_invoke
Invoke a Lambda function. 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 lambda_invoke: 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.
lambda_invoke 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 lambda_invoke 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 lambda_invoke. 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.
lambda_invoke 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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