Deploy a specific prompt version, making it the active version that experiments (and other workflows) will use. Background: when you create a prompt version, it starts as a draft (not deployed). The platform requires at least one DEPLOYED version before a prompt can be referenced by version numbe...
AI agents invoke deploy_prompt_version to trigger actions in Respan MCP Server. 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.
This tool deploys/activates a prompt version for use in experiments and workflows. While it does not delete or create financial transactions, it triggers an operational change that affects the behavior of downstream systems (experiments and workflows will now use the deployed version).
From the tool's definition Deploy a specific prompt version, making it the active version that experiments (and other workflows) will use.
Attacks that exploit this kind of access
Deploy a specific prompt version, making it the active version that experiments (and other workflows) will use. Background: when you create a prompt version, it starts as a draft (not deployed). The platform requires at least one DEPLOYED version before a prompt can be referenced by version number in experiments or other workflows. If you call create_experiment with a prompt workflow and see. It is categorised as a Execute tool in the Respan MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Respan MCP Server MCP server in PolicyLayer and add a rule for deploy_prompt_version: 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 Respan MCP Server. Nothing to install.
deploy_prompt_version 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 deploy_prompt_version 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 deploy_prompt_version. 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.
deploy_prompt_version is provided by the Respan MCP Server MCP server (respanai/respan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →