This record as markdown: /tools/io-github-portel-dev-ncp/start-session.md
What start_session does on Ncp
AI agents invoke start_session 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 start_session is rated High
Starting a BrowserStack session executes an external operation whose effects depend on context and subsequent actions. This falls under Execute rather than Write because it triggers an external service/platform action rather than merely creating local data.
From the tool's definition Tool name 'start_session' combined with description 'Start BrowserStack testing session' indicates initiating an external service operation. BrowserStack is a cloud-based browser and device testing platform.
Attacks that exploit this kind of access
The rule that runs start_session 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 start_session, this is the rule to start with:
start_session 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 start_session call is checked against it from then on.
Questions about start_session
Start BrowserStack testing session. 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 start_session: 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.
start_session 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 start_session 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 start_session. 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.
start_session 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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