datasets_steam_reviews_search
Search the steam-reviews dataset. Searches the stored Steam review corpus (the most-helpful reviews per game; one document per appid × recommendation). Full-text q over the review body, filter by app_id, language, or voted_up (positive/negative). Sort enum: votes_desc (most-helpful first, default...
This record as markdown: /tools/crawlora-mcp/datasets-steam-reviews-search.md
What datasets_steam_reviews_search does on Crawlora
AI agents call datasets_steam_reviews_search to retrieve information from Crawlora 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 |
|---|---|---|---|
q | string | — | Full-text query over the review body, max 256 characters |
page | integer | — | Page number, defaults to 1 |
sort | string | — | Sort enum: votes_desc, weighted_desc, date_desc |
app_id | string | — | Exact Steam app id filter |
language | string | — | Review language filter (e.g. english, schinese) |
voted_up | string | — | Recommendation filter: true (positive) or false (negative) |
page_size | integer | — | Page size, defaults to 20 and maxes at 100; page * page_size must be <= 10000 |
Parameters from the server's own tool schema.
Why datasets_steam_reviews_search is rated Low
This tool performs read-only queries against a stored dataset of Steam reviews. It supports searching, filtering, and sorting but does not create, modify, delete, or execute any external operations. The tool only retrieves data with no side effects.
From the tool's definition Search the steam-reviews dataset. Searches the stored Steam review corpus... Full-text `q` over the review body, filter by `app_id`, `language`, or `voted_up`... Sort enum: `votes_desc`, `weighted_desc`, `date_desc`.
Attacks that exploit this kind of access
The rule that runs datasets_steam_reviews_search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For datasets_steam_reviews_search, this is the rule to start with:
datasets_steam_reviews_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 Crawlora, apply this rule, and every datasets_steam_reviews_search call is checked against it from then on.
Questions about datasets_steam_reviews_search
Search the steam-reviews dataset. Searches the stored Steam review corpus (the most-helpful reviews per game; one document per appid × recommendation). Full-text q over the review body, filter by app_id, language, or voted_up (positive/negative). Sort enum: votes_desc (most-helpful first, default), weighted_desc, date_desc. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
datasets_steam_reviews_search accepts 7 parameters: q, page, sort, app_id, language, voted_up, page_size. The full parameter table on this page comes from the server's own tool schema.
Register the Crawlora MCP server in PolicyLayer and add a rule for datasets_steam_reviews_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 Crawlora. Nothing to install.
datasets_steam_reviews_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 datasets_steam_reviews_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 datasets_steam_reviews_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.
datasets_steam_reviews_search is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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