enrich_reviews
Aggregate Google Maps reviews for a local business (rating, review count, recent review snippets). Use for local-SEO research, competitor monitoring, or restaurant/service intelligence. Example call: {"query": "blue bottle coffee oakland"} Cost: $0.005–$0.05 USDC on Base per call.
This record as markdown: /tools/io-github-colinhughes2121-gocreative-agent-api/enrich-reviews.md
What enrich_reviews does on GoCreative Agent API
AI agents call enrich_reviews to retrieve information from GoCreative Agent API 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 |
|---|---|---|---|
query | string | Yes |
Parameters from the server's own tool schema.
Why enrich_reviews is rated Low
The tool performs data retrieval ('aggregate', 'fetch review data') with no side effects, no code execution, no financial transactions, and no destructive operations. It queries publicly available business review information from Google Maps. The per-call cost is a service charge for the lookup API, not a financial transaction on behalf of the user.
From the tool's definition Tool aggregates and retrieves Google Maps reviews (rating, review count, recent review snippets) without modifying or deleting data.
Attacks that exploit this kind of access
The rule that runs enrich_reviews safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GoCreative Agent API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For enrich_reviews, this is the rule to start with:
enrich_reviews 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 GoCreative Agent API, apply this rule, and every enrich_reviews call is checked against it from then on.
Questions about enrich_reviews
Aggregate Google Maps reviews for a local business (rating, review count, recent review snippets). Use for local-SEO research, competitor monitoring, or restaurant/service intelligence. Example call: {"query": "blue bottle coffee oakland"} Cost: $0.005–$0.05 USDC on Base per call. It is categorised as a Read tool in the GoCreative Agent API MCP Server, which means it retrieves data without modifying state.
enrich_reviews accepts 1 parameter: query. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the GoCreative Agent API MCP server in PolicyLayer and add a rule for enrich_reviews: 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 GoCreative Agent API. Nothing to install.
enrich_reviews 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 enrich_reviews 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 enrich_reviews. 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.
enrich_reviews is provided by the GoCreative Agent API MCP server (https://api.gocreativeai.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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