This record as markdown: /tools/io-github-iowarp-adios-mcp/jarvis-add-step.md
What jarvis_add_step does on CLIO Adios
AI agents use jarvis_add_step 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 jarvis_add_step is rated Medium
An AI agent can call jarvis_add_step faster than any human can review: one bad instruction and it creates or modifies resources in CLIO Adios by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs jarvis_add_step 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 jarvis_add_step, this is the rule to start with:
jarvis_add_step 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 jarvis_add_step call is checked against it from then on.
Questions about jarvis_add_step
jarvis_add_step is a write tool on the CLIO Adios MCP server. 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 jarvis_add_step: 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.
jarvis_add_step 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 jarvis_add_step 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 jarvis_add_step. 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.
jarvis_add_step 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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