plan_tool_workflow
A write tool on the API-Central MCP server.
This record as markdown: /tools/secure-ssid-centralmcp/plan-tool-workflow.md
What plan_tool_workflow does on API-Central
AI agents use plan_tool_workflow to create or update resources in API-Central, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your API-Central environment.
Why plan_tool_workflow is rated Medium
An AI agent can call plan_tool_workflow faster than any human can review: one bad instruction and it creates or modifies resources in API-Central by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs plan_tool_workflow safely
PolicyLayer is an MCP gateway: it sits between your AI agents and API-Central, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plan_tool_workflow, this is the rule to start with:
plan_tool_workflow 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 API-Central, apply this rule, and every plan_tool_workflow call is checked against it from then on.
Questions about plan_tool_workflow
plan_tool_workflow is a write tool on the API-Central MCP server. It is categorised as a Write tool in the API-Central MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the API-Central MCP server in PolicyLayer and add a rule for plan_tool_workflow: 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 API-Central. Nothing to install.
plan_tool_workflow 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 plan_tool_workflow 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 plan_tool_workflow. 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.
plan_tool_workflow is provided by the API-Central MCP server (secure-ssid/centralmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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