Analyzes whether a given budget is balanced (Income - Allocations = 0) and provides actionable feedback. Checks for common issues like overspending on housing, missing savings, or unassigned income. Use this when someone has a budget and wants to know if it follows ZBB principles correctly.
AI agents call analyze_budget to retrieve information from Getalife without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs analysis and validation of budget data, returning recommendations and findings. It retrieves and queries financial information to provide insights, but does not execute transactions, modify financial records, delete data, or commit financial obligations. The analysis is informational only, making it a Read category tool with low severity.
From the tool's definition Tool 'analyzes whether a given budget is balanced' and 'provides actionable feedback' - it checks and reports on existing data without creating, modifying, deleting, or moving money. No side effects or irreversible actions.
Attacks that exploit this kind of access
Analyzes whether a given budget is balanced (Income - Allocations = 0) and provides actionable feedback. Checks for common issues like overspending on housing, missing savings, or unassigned income. Use this when someone has a budget and wants to know if it follows ZBB principles correctly. It is categorised as a Read tool in the Getalife MCP Server, which means it retrieves data without modifying state.
Register the Getalife MCP server in PolicyLayer and add a rule for analyze_budget: 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 Getalife. Nothing to install.
analyze_budget is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_budget 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 analyze_budget. 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.
analyze_budget is provided by the Getalife MCP server (narazgul/mcp-server-getalife). 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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