AI agents use update_next_action to create or update resources in Codevira MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Codevira MCP environment.
This tool modifies project planning data (roadmap) but does not execute code, delete data irreversibly, or move funds. It is a Write operation as it creates or modifies data reversibly. Severity is medium because incorrect roadmap updates could mislead an AI agent's workflow decisions, but changes can typically be reversed or corrected in subsequent updates.
From the tool's definition Tool name 'update_next_action' combined with description 'Update the roadmap' indicates modification of existing data.
Documented attack patterns abuse exactly the kind of access update_next_action gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Codevira MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for update_next_action:
{
"version": "1",
"default": "deny",
"tools": {
"update_next_action": {
"limits": [
{
"counter": "update_next_action_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_next_action 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 the roadmap. It is categorised as a Write tool in the Codevira MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Codevira MCP server in PolicyLayer and add a rule for update_next_action: 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 Codevira MCP. Nothing to install.
update_next_action 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_next_action 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_next_action. 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_next_action is provided by the Codevira MCP server (sachinshelke/codevira). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Codevira MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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48 Codevira MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.