theprotocol_updatePipeline
Update fields on an existing pipeline.
This record as markdown: /tools/cloud-theprotocol-registry/theprotocol-updatepipeline.md
What theprotocol_updatePipeline does on TheProtocol — Sovereign AI Agent Platform
AI agents use theprotocol_updatePipeline to create or update resources in TheProtocol — Sovereign AI Agent Platform, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TheProtocol — Sovereign AI Agent Platform environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_did | string | Yes | |
is_active | boolean | — | |
pipeline_id | string | Yes | |
pipeline_name | string | — | |
pipeline_config | object | — |
Parameters from the server's own tool schema.
Why theprotocol_updatePipeline is rated Medium
This tool modifies existing pipeline configurations reversibly. While 'update' operations are typically Write category, the high severity is justified because pipelines in a 'Sovereign AI Agent Platform' with financial/governance capabilities could control asset transfers or critical workflows. Misuse could redirect funds, alter staking parameters, or compromise governance processes.
From the tool's definition Tool name contains 'update' and description states 'Update fields on an existing pipeline', indicating modification of existing data structures.
Attacks that exploit this kind of access
The rule that runs theprotocol_updatePipeline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and TheProtocol — Sovereign AI Agent Platform, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For theprotocol_updatePipeline, this is the rule to start with:
theprotocol_updatePipeline stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect TheProtocol — Sovereign AI Agent Platform, apply this rule, and every theprotocol_updatePipeline call is checked against it from then on.
Questions about theprotocol_updatePipeline
Update fields on an existing pipeline. It is categorised as a Write tool in the TheProtocol — Sovereign AI Agent Platform MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
theprotocol_updatePipeline accepts 5 parameters: agent_did, is_active, pipeline_id, pipeline_name, pipeline_config. Required: agent_did, pipeline_id. The full parameter table on this page comes from the server's own tool schema.
Register the TheProtocol — Sovereign AI Agent Platform MCP server in PolicyLayer and add a rule for theprotocol_updatePipeline: 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 TheProtocol — Sovereign AI Agent Platform. Nothing to install.
theprotocol_updatePipeline 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 theprotocol_updatePipeline 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 theprotocol_updatePipeline. 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.
theprotocol_updatePipeline is provided by the TheProtocol — Sovereign AI Agent Platform MCP server (https://api.theprotocol.cloud/mcp/sse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on TheProtocol — Sovereign AI Agent Platform, and thousands of servers like it.
Across the catalogue