cfpb_complaint_trends
Time-series trends of complaint volume. lens=overview shows total complaints over time; lens=product shows by product; lens=company shows by company; lens=issue shows by issue. Interval can be month, quarter, or year.
This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/cfpb-complaint-trends.md
What cfpb_complaint_trends does on Livedatalink
AI agents call cfpb_complaint_trends to retrieve information from Livedatalink 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 |
|---|---|---|---|
lens | string | Yes | Trend dimension |
product | string | — | Filter to a specific product |
sub_lens | string | — | Optional sub-dimension |
trend_depth | number | — | Top N to track (default 5) |
trend_interval | string | — | Time bucket size |
date_received_max | string | — | YYYY-MM-DD upper bound |
date_received_min | string | — | YYYY-MM-DD lower bound |
Parameters from the server's own tool schema.
Why cfpb_complaint_trends is rated Low
This tool retrieves and queries historical complaint trend data from the CFPB (Consumer Financial Protection Bureau) database. It is a pure read-only data aggregation tool with no side effects. The user cannot modify, delete, or execute operations—only view complaint statistics over time with different analytical lenses.
From the tool's definition Tool description explicitly states it shows 'time-series trends of complaint volume' with filtering options (overview, product, company, issue). Verbs are passive analytical operations: 'shows' complaints data grouped by various dimensions.
Attacks that exploit this kind of access
The rule that runs cfpb_complaint_trends safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livedatalink, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cfpb_complaint_trends, this is the rule to start with:
cfpb_complaint_trends 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 Livedatalink, apply this rule, and every cfpb_complaint_trends call is checked against it from then on.
Questions about cfpb_complaint_trends
Time-series trends of complaint volume. lens=overview shows total complaints over time; lens=product shows by product; lens=company shows by company; lens=issue shows by issue. Interval can be month, quarter, or year. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.
cfpb_complaint_trends accepts 7 parameters: lens, product, sub_lens, trend_depth, trend_interval, date_received_max, date_received_min. Required: lens. The full parameter table on this page comes from the server's own tool schema.
Register the Livedatalink MCP server in PolicyLayer and add a rule for cfpb_complaint_trends: 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 Livedatalink. Nothing to install.
cfpb_complaint_trends 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 cfpb_complaint_trends 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 cfpb_complaint_trends. 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.
cfpb_complaint_trends is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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