AI agents use update_project to create or update resources in Redmine MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Redmine MCP Server environment.
This tool creates or modifies data reversibly by updating project settings in Redmine. It does not execute arbitrary code, delete data irreversibly, or move money. The severity is medium because unauthorized project setting changes could impact project access, visibility, or configuration, but the effects are typically reversible through subsequent updates.
From the tool's definition Tool name 'update_project' and description 'Update project settings' indicate modification of existing project configuration data.
Documented attack patterns abuse exactly the kind of access update_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Redmine MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_project:
{
"version": "1",
"default": "deny",
"tools": {
"update_project": {
"limits": [
{
"counter": "update_project_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_project 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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Update project settings. It is categorised as a Write tool in the Redmine MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Redmine MCP Server MCP server in PolicyLayer and add a rule for update_project: 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 Redmine MCP Server. Nothing to install.
update_project 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 update_project 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 update_project. 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.
update_project is provided by the Redmine MCP Server MCP server (yonaka15/mcp-server-redmine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 26 Redmine MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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26 Redmine MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.