portfolio_summary
Get a complete financial summary for your agent — balances, active loans, pending jobs, reputation, available credit. Your dashboard in one call. No api_key required.
This record as markdown: /tools/io-github-wirternow-agent-bank/portfolio-summary.md
What portfolio_summary does on Ai Agent Bank
AI agents call portfolio_summary to retrieve information from Ai Agent Bank without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_id | string | Yes | UUID of the agent |
Parameters from the server's own tool schema.
Why portfolio_summary is rated Low
This tool retrieves and queries financial information (balances, active loans, pending jobs, reputation, available credit) without creating, modifying, or deleting data. It is a read-only dashboard query that presents aggregated account information.
From the tool's definition Tool name is 'portfolio_summary' and description states 'Get a complete financial summary' and 'Your dashboard in one call.' The verb 'get' combined with read-only operations (balances, loans, jobs, reputation, credit) indicates data retrieval with no side…
Attacks that exploit this kind of access
The rule that runs portfolio_summary safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ai Agent Bank, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For portfolio_summary, this is the rule to start with:
portfolio_summary is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ai Agent Bank, apply this rule, and every portfolio_summary call is checked against it from then on.
Questions about portfolio_summary
Get a complete financial summary for your agent — balances, active loans, pending jobs, reputation, available credit. Your dashboard in one call. No api_key required. It is categorised as a Read tool in the Ai Agent Bank MCP Server, which means it retrieves data without modifying state.
portfolio_summary accepts 1 parameter: agent_id. Required: agent_id. The full parameter table on this page comes from the server's own tool schema.
Register the Ai Agent Bank MCP server in PolicyLayer and add a rule for portfolio_summary: 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 Ai Agent Bank. Nothing to install.
portfolio_summary 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 portfolio_summary 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 portfolio_summary. 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.
portfolio_summary is provided by the Ai Agent Bank MCP server (https://tdueqhfxyojmjgactdyc.supabase.co/functions/v1/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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