Upgrade harness mode (solo → small-team → mid-team → org) with zero migration cost. Updates .harness/config.json and generates additional files required by the new mode under .harness/.
AI agents use harness_upgrade_mode to create or update resources in Harness Engineering MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Harness Engineering MCP environment.
This tool modifies configuration files and generates new files under .harness/, which is a reversible write operation. It changes the governance mode of the harness system but does not execute arbitrary code, delete data, or involve financial transactions. Misuse could alter engineering governance settings, causing medium blast radius.
From the tool's definition Upgrade harness mode... Updates .harness/config.json and generates additional files required by the new mode under .harness/.
Attacks that exploit this kind of access
Upgrade harness mode (solo → small-team → mid-team → org) with zero migration cost. Updates .harness/config.json and generates additional files required by the new mode under .harness/. It is categorised as a Write tool in the Harness Engineering MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Harness Engineering MCP server in PolicyLayer and add a rule for harness_upgrade_mode: 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 Harness Engineering MCP. Nothing to install.
harness_upgrade_mode 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 harness_upgrade_mode 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 harness_upgrade_mode. 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.
harness_upgrade_mode is provided by the Harness Engineering MCP server (movebrickschi/harness-engineering-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.
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