AI agents use promotePackage to create or update resources in Azure Devops — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Azure Devops environment.
Promoting a package between views modifies the state and visibility of package artifacts, typically moving them between development, staging, and production feeds. This is a reversible write operation that changes package metadata and distribution, potentially affecting what versions are available to consumers.
From the tool's definition Tool name 'promotePackage' and description 'Promote a package version between views' indicates modification of package artifact state across deployment environments or package feed views.
Documented attack patterns abuse exactly the kind of access promotePackage gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Azure Devops, and nothing reaches the server without passing your rules. This is the rule we recommend for promotePackage:
{
"version": "1",
"default": "deny",
"tools": {
"promotePackage": {
"limits": [
{
"counter": "promotepackage_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}promotePackage 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.
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Promote a package version between views. It is categorised as a Write tool in the Azure Devops MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Azure Devops MCP server in PolicyLayer and add a rule for promotePackage: 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 Azure Devops. Nothing to install.
promotePackage 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 promotePackage 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 promotePackage. 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.
promotePackage is provided by the Azure Devops MCP server (ryancardin15/azuredevops-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 97 Azure Devops tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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97 Azure Devops tools catalogued and risk-classified — across an index of 42,500+ MCP servers.