get_product
Get full product detail including images, options, and variations.
This record as markdown: /tools/io-favcrm-favcrm/get-product.md
What get_product does on FavCRM
AI agents call get_product to retrieve information from FavCRM 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 |
|---|---|---|---|
productId | number | Yes | The product ID |
Parameters from the server's own tool schema.
Why get_product is rated Low
This tool queries and retrieves product information (details, images, options, variations) without modifying, executing external operations, deleting data, or moving money. It is a straightforward read operation typical of CRM systems for retrieving catalog or product data.
From the tool's definition Tool name 'get_product' and description 'Get full product detail including images, options, and variations' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs get_product safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FavCRM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_product, this is the rule to start with:
get_product 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 FavCRM, apply this rule, and every get_product call is checked against it from then on.
Questions about get_product
Get full product detail including images, options, and variations. It is categorised as a Read tool in the FavCRM MCP Server, which means it retrieves data without modifying state.
get_product accepts 1 parameter: productId. Required: productId. The full parameter table on this page comes from the server's own tool schema.
Register the FavCRM MCP server in PolicyLayer and add a rule for get_product: 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 FavCRM. Nothing to install.
get_product 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_product 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_product. 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_product is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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