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RBX Invest Roblox Limiteds market data

Several Limiteds at once

get_items

Look up a known list of Roblox Limiteds in one call: name, classic or UGC, asset type, creator, RAP, lowest resale listing, stock, original price, favorites and the typical sale price over 30/90/180 days. Use it to compare items or to refresh a watchlist instead of calling get_item_details once per item; use get_item_details when one item needs its full history and score. Up to 200 asset ids per call; ids that are not tracked Limiteds come back in not_found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_idsYesNumeric Roblox asset ids, at most 200.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / asset_ids / description
      Previous value: -"Numeric Roblox asset ids, at most 50."New value: +"Numeric Roblox asset ids, at most 200."
    • changedInput schema / properties / asset_ids / maxItems
      Previous value: -50New value: +200
  2. Added

TDQS

A4.7/5.0
Behavior4/5

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

No annotations are provided, so the description carries the behavioral burden, and it does disclose two useful traits: a hard cap of 200 asset ids per call and the batch error semantics ('ids that are not tracked Limiteds come back in not_found'). It does not mention authentication, rate limits, or whether results are guaranteed to be ordered/complete, which keeps it short of a 5.

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

Conciseness5/5

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

Front-loaded with the action and the returned fields, followed by routing guidance and the batch constraint. Three sentences, each doing distinct work, with no filler or restatement of the title.

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

Completeness5/5

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

With no output schema, the description compensates by enumerating the returned fields, and it covers the batch limit, the not_found outcome, and sibling routing. Nothing an agent needs to call this one-call batch lookup correctly is missing.

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

Parameters4/5

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

Schema coverage is 100% and there is only one parameter, so the schema already carries the numeric-id format and 1-200 bounds. The description adds value by clarifying the batch semantics of that array — up to 200 per call and what happens to ids that are not tracked Limiteds.

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

Purpose5/5

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

Opens with a specific verb+resource ('Look up a known list of Roblox Limiteds in one call') and enumerates the exact fields returned (name, classic or UGC, asset type, creator, RAP, lowest resale listing, stock, original price, favorites, 30/90/180-day sale price). It explicitly distinguishes itself from the sibling get_item_details, so an agent can separate them without opening either schema.

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

Usage Guidelines5/5

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

States both when to use it ('compare items or refresh a watchlist instead of calling get_item_details once per item') and when to prefer the alternative ('use get_item_details when one item needs its full history and score'). The selection condition against the closest sibling is explicit, no inference required.

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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