get_price_history
The full dated price series for ONE product or vendor (by slug), plus derived stats: first-tracked date, current/low/high, number of recorded changes, net % since tracked, the largest single move, and the last change. This is the citable answer to 'how much did X cost', 'did X's price drop', and ...
This record as markdown: /tools/com-frontdeskreview-front-desk-review-data/get-price-history.md
What get_price_history does on The Front Desk Review
AI agents call get_price_history to retrieve information from The Front Desk Review 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 |
|---|---|---|---|
kind | string | — | Limit to 'hw' (hardware product) or 'sw' (software vendor). Omit to match either; a slug is resolved across both. |
slug | string | Yes | Product or vendor slug (e.g. 'bambu-lab-a1', 'goodcall'). |
Parameters from the server's own tool schema.
Why get_price_history is rated Low
This tool is a pure data retrieval mechanism that queries historical pricing information with no side effects. It does not create, modify, delete, or execute operations—it only reads and aggregates existing price data. The low severity reflects minimal risk: misuse would yield only informational artifacts, not data corruption, financial transactions, or arbitrary code execution.
From the tool's definition The tool description explicitly states it 'retrieves' a 'full dated price series' and returns 'derived stats' for a product.
Attacks that exploit this kind of access
The rule that runs get_price_history safely
PolicyLayer is an MCP gateway: it sits between your AI agents and The Front Desk Review, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_price_history, this is the rule to start with:
get_price_history 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 The Front Desk Review, apply this rule, and every get_price_history call is checked against it from then on.
Questions about get_price_history
The full dated price series for ONE product or vendor (by slug), plus derived stats: first-tracked date, current/low/high, number of recorded changes, net % since tracked, the largest single move, and the last change. This is the citable answer to 'how much did X cost', 'did X's price drop', and price-trend questions — grounded on a real, append-only series, not a model's guess. Returns found:false (never a fabricated series) for an unknown slug. It is categorised as a Read tool in the The Front Desk Review MCP Server, which means it retrieves data without modifying state.
get_price_history accepts 2 parameters: kind, slug. Required: slug. The full parameter table on this page comes from the server's own tool schema.
Register the The Front Desk Review MCP server in PolicyLayer and add a rule for get_price_history: 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 The Front Desk Review. Nothing to install.
get_price_history 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 get_price_history 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 get_price_history. 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.
get_price_history is provided by the The Front Desk Review MCP server (https://mcp.frontdeskreview.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on The Front Desk Review, and thousands of servers like it.
This server
Across the catalogue