get_goal

Get a maker goal by ID. Returns cleaned data in TOON format.

Server Product Hunt MCP Server jing-yilin/producthunt-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_goal does on Product Hunt MCP Server

AI agents call get_goal to retrieve information from Product Hunt MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_goal needs a policy

This tool queries and retrieves a specific maker goal resource from the Product Hunt API by ID. It performs a simple data lookup with no capability to modify, delete, or execute operations. The 'get' prefix and passive retrieval semantics clearly place this in the Read category, with minimal security risk when called by an AI agent.

From the tool's definition Tool name 'get_goal' and description 'Get a maker goal by ID. Returns cleaned data' indicate a retrieval operation with no modification or side effects.

Questions about get_goal

What does the get_goal tool do? +

Get a maker goal by ID. Returns cleaned data in TOON format. It is categorised as a Read tool in the Product Hunt MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_goal? +

Register the Product Hunt MCP Server MCP server in PolicyLayer and add a rule for get_goal: 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 Product Hunt MCP Server. Nothing to install.

What risk level is get_goal? +

get_goal is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_goal? +

Yes. Add a rate_limit block to the get_goal 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.

How do I block get_goal completely? +

Set action: deny in the PolicyLayer policy for get_goal. 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.

What MCP server provides get_goal? +

get_goal is provided by the Product Hunt MCP Server MCP server (jing-yilin/producthunt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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