set_active_source
Set the active pipeline object by its registered name.
This record as markdown: /tools/io-github-iowarp-adios-mcp/set-active-source.md
What set_active_source does on CLIO Adios
AI agents use set_active_source to create or update resources in CLIO Adios, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CLIO Adios environment.
Why set_active_source is rated Medium
This tool modifies the state of the application by changing which pipeline object is active. It's a stateful write operation that alters the active context/selection within the pipeline, but does not delete or irreversibly destroy data. It is reversible by setting a different active source.
From the tool's definition Set the active pipeline object by its registered name
Attacks that exploit this kind of access
The rule that runs set_active_source safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_active_source, this is the rule to start with:
set_active_source 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 CLIO Adios, apply this rule, and every set_active_source call is checked against it from then on.
Questions about set_active_source
Set the active pipeline object by its registered name. It is categorised as a Write tool in the CLIO Adios MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for set_active_source: 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 CLIO Adios. Nothing to install.
set_active_source 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 set_active_source 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 set_active_source. 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.
set_active_source is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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