dcl_pipeline_start
SESSION Management ($0.05). Generates a new pipeline_id and returns session metadata (scope, expiry, initial drift_mode) for organizing a series of related checks under one identifier. Note: this call does not currently link the returned pipeline_id to later evaluate_* calls — there is no server-...
This record as markdown: /tools/com-fronesislabs-dcl-trust-oracle/dcl-pipeline-start.md
What dcl_pipeline_start does on Dcl Trust Oracle
AI agents invoke dcl_pipeline_start to trigger actions in Dcl Trust Oracle. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
scope | string | — | Scope label for the session. |
agent_id | string | Yes | Identifier of the agent that owns this session. |
ttl_seconds | integer | — | Session time-to-live, in seconds. |
Parameters from the server's own tool schema.
Why dcl_pipeline_start is rated High
dcl_pipeline_start triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs dcl_pipeline_start safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dcl Trust Oracle, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For dcl_pipeline_start, this is the rule to start with:
dcl_pipeline_start 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 Dcl Trust Oracle, apply this rule, and every dcl_pipeline_start call is checked against it from then on.
Questions about dcl_pipeline_start
SESSION Management ($0.05). Generates a new pipeline_id and returns session metadata (scope, expiry, initial drift_mode) for organizing a series of related checks under one identifier. Note: this call does not currently link the returned pipeline_id to later evaluate_* calls — there is no server-side session state that ties subsequent audits back to it; it is an identifier/timestamp issuer, not an active tracking session. Use this to obtain a shared reference ID for your own client-side grouping of a multi-step audit sequence; do not rely on it to automatically aggregate drift across calls. It is categorised as a Execute tool in the Dcl Trust Oracle MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
dcl_pipeline_start accepts 3 parameters: scope, agent_id, ttl_seconds. Required: agent_id. The full parameter table on this page comes from the server's own tool schema.
Register the Dcl Trust Oracle MCP server in PolicyLayer and add a rule for dcl_pipeline_start: 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 Dcl Trust Oracle. Nothing to install.
dcl_pipeline_start 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 dcl_pipeline_start 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 dcl_pipeline_start. 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.
dcl_pipeline_start is provided by the Dcl Trust Oracle MCP server (https://mcp.fronesislabs.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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