AI agents use save_plan to create or update resources in Software Planning Tool — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Software Planning Tool environment.
This tool creates or modifies data (implementation plans) in a reversible manner. It falls under Write category as it persists planning data without destructive, financial, or code execution semantics. The severity is low because misuse would only affect project planning documents, not production systems, financial transactions, or irreversible data loss.
From the tool's definition Tool name 'save_plan' and description 'Save the current implementation plan' indicate persisting/writing data to storage.
Documented attack patterns abuse exactly the kind of access save_plan gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Software Planning Tool, and nothing reaches the server without passing your rules. This is the rule we recommend for save_plan:
{
"version": "1",
"default": "deny",
"tools": {
"save_plan": {
"limits": [
{
"counter": "save_plan_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}save_plan 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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Save the current implementation plan. It is categorised as a Write tool in the Software Planning Tool MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Software Planning Tool MCP server in PolicyLayer and add a rule for save_plan: 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 Software Planning Tool. Nothing to install.
save_plan 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 save_plan 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 save_plan. 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.
save_plan is provided by the Software Planning Tool MCP server (nighttrek/software-planning-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 Software Planning Tool tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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6 Software Planning Tool tools catalogued and risk-classified — across an index of 42,500+ MCP servers.