# credits_ledger

Context-safe final credits ledger query. Defaults to aggregated summary, supports precise search by entry type/direction/credit range, and writes large exports to a local JSONL file instead of returning all rows.

Agent View of the PolicyLayer registry record for `credits_ledger`. HTML page: https://policylayer.com/tools/qverisai-qveris-agent-toolkit/credits-ledger

## Facts

- Tool: `credits_ledger`
- Server: Qverisai (`qverisai/qveris-agent-toolkit`) — https://policylayer.com/tools/qverisai-qveris-agent-toolkit.md
- Homepage: https://github.com/QVerisAI/qveris-agent-toolkit
- Risk category: Read (Low risk)
- Registry record: grade C, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "credits_ledger",
    "arguments": {}
  }
}
```

## Why credits_ledger is rated Low

This tool retrieves and queries financial ledger data without modifying it. While it operates on financial information, it performs no financial transactions, money movement, or irreversible operations. The mechanism of 'writing large exports to a local JSONL file' is a read operation (exporting query results), not a financial action.

From the tool's own definition: "Tool is described as a 'query' that 'defaults to aggregated summary' and 'supports precise search' with filtering parameters."

## Use case

AI agents call credits_ledger to retrieve information from Qverisai without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Qverisai:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "credits_ledger": {}
  }
}
```

## Other tools on Qverisai (8)

- `execute_tool` — Execute — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/execute-tool.md
- `call` — Financial — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/call.md
- `discover` — Read — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/discover.md
- `get_tools_by_ids` — Read — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/get-tools-by-ids.md
- `inspect` — Read — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/inspect.md
- `probe` — Read — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/probe.md
- `search_tools` — Read — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/search-tools.md
- `usage_history` — Read — https://policylayer.com/tools/qverisai-qveris-agent-toolkit/usage-history.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=qverisai-qveris-agent-toolkit · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/qverisai-qveris-agent-toolkit