rawg.games.search
Search 800K+ video games — filter by genre, platform, release date, Metacritic score, with ratings, screenshots, and store links (RAWG)
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/rawg.games.search.md
What rawg.games.search does on Apibase
AI agents call rawg.games.search to retrieve information from Apibase 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 |
|---|---|---|---|
page | integer | — | Page number for pagination (default 1) |
dates | string | — | Filter by release date range YYYY-MM-DD,YYYY-MM-DD (e.g. "2024-01-01,2024-12-31") |
genres | string | — | Filter by genre IDs — comma-separated (e.g. "4" for action, "5" for RPG, "4,5" for both) |
search | string | — | Search query for games (e.g. "The Witcher", "Red Dead Redemption") |
ordering | string | — | Sort field: name, released, added, created, updated, rating, metacritic. Prefix with "-" for descending (e.g. "-rating") |
page_size | integer | — | Number of results per page (default 20, max 40) |
platforms | string | — | Filter by platform IDs — comma-separated (e.g. "4" for PC, "187" for PS5, "186" for Xbox Series) |
metacritic | string | — | Filter by Metacritic score range "min,max" (e.g. "80,100" for highly rated) |
Parameters from the server's own tool schema.
Why rawg.games.search is rated Low
Tool queries and retrieves game data with no side effects, modification, or execution.
From the tool's definition Search 800K+ video games — filter by genre, platform, release date, Metacritic score
Attacks that exploit this kind of access
The rule that runs rawg.games.search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rawg.games.search, this is the rule to start with:
rawg.games.search 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 Apibase, apply this rule, and every rawg.games.search call is checked against it from then on.
Questions about rawg.games.search
Search 800K+ video games — filter by genre, platform, release date, Metacritic score, with ratings, screenshots, and store links (RAWG). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
rawg.games.search accepts 8 parameters: page, dates, genres, search, ordering, page_size, platforms, metacritic. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for rawg.games.search: 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 Apibase. Nothing to install.
rawg.games.search 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 rawg.games.search 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 rawg.games.search. 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.
rawg.games.search is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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