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RBX Invest Roblox Limiteds market data

One Limited in depth

get_item_details

Everything tracked about one Roblox Limited: a plain-language summary paragraph, est_demand (the Est. Demand level from the New UGC Limiteds feed, a release-time sell-out-speed quartile, not a buy signal; null when unrated), RAP and how it has moved over a window, the resale book (how many copies are listed and at what prices, not just the cheapest), stock left, sales in the last 30 days, whether the creator is still selling new copies, the creator, the item score with its predicted profit per day and a breakdown of how it was calculated (every input, its weight and how many points it moved the chance and profit-size blends, then the equation), a summary of its price trend, and its full recorded sales history (sales count, first and last sale, high and low daily average, average price by year and for the 12 most recent months with sales, and for UGC when it sold out and whether release buyers could resell at a profit), and related articles from the site (about_this_item marks the ones that are actually about it). Use the breakdown to explain why an item scores what it does. Needs a numeric Roblox asset id — get one from search_items first. Read creator_still_selling rather than copies_remaining to answer "can I buy one at the original price": stock left does not mean it is on sale.

Input Schema

NameRequiredDescriptionDefault
asset_idYesNumeric Roblox asset id, e.g. "1365767".
trend_daysNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full load and does so well: it defines est_demand precisely (release-time sell-out-speed quartile, explicitly not a buy signal), declares its null behavior when unrated, and warns that stock left does not imply availability. It omits error/invalid-id behavior and any sense of cost or rate limits for a single-item lookup.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The lead clause is front-loaded correctly and the two closing cautions earn their place, but the middle is a single sprawling sentence enumerating every returned field, which is heavy to parse. The information is mostly load-bearing, so this is over-dense rather than padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description must describe the return payload, and it does so thoroughly enough that an agent knows what to expect field by field, including nested history and article attribution. The only real hole is trend_days, which is never explained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%: asset_id is documented in the schema and the description adds sourcing guidance (get it from search_items). trend_days is documented only by the schema's min/max/default, and the description refers to 'a window' without naming the parameter, its 7–90 range, or its default of 30.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a specific verb+resource+scope: 'Everything tracked about one Roblox Limited.' It implicitly distinguishes itself from the list-oriented siblings by telling the agent to get an id from search_items first. The purpose is clear, though it is then buried under an exhaustive field enumeration rather than staying crisp.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives real routing and interpretation rules: needs a numeric asset id sourced from search_items, use the score breakdown to explain scoring, and prefer creator_still_selling over copies_remaining when answering 'can I buy at original price.' It does not say when a sibling like get_market_activity or get_items would be the better call, so it stops short of full alternative coverage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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