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Glama

RBX Invest Roblox Limiteds market data

One Limited in depth

get_item_details

Everything tracked about one Roblox Limited: a plain-language summary paragraph, 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 summary of its price trend. 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

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

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It goes well beyond a generic 'get details' by warning that stock left does not mean the item is on sale, and by clarifying the resale book includes all listed prices, not just the cheapest. This meaningfully reduces misuse.

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

Conciseness4/5

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

The paragraph is long but every clause earns its place: the field list, the prerequisite, and the interpretation warning. It is dense but not padded. It could be broken into cleaner sentences, but there is no wasted information.

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?

Given no output schema and no annotations, the description does a strong job of telling the agent what will be returned and includes a useful caveat. The main gap is that trend_days is never mentioned, so the agent cannot tell that the RAP window and 30-day sales figure are configurable.

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 only 50%, so the description must compensate. It reinforces asset_id semantics by requiring a numeric id and sourcing it from search_items, but it never explains trend_days. The phrase 'over a window' is ambiguous because it does not connect to the trend_days parameter or its default of 30.

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?

The description opens with 'Everything tracked about one Roblox Limited' and enumerates the exact data fields returned, making the resource and scope unmistakable. It also differentiates itself from search_items by explicitly saying to get the asset id from that tool first.

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?

The prerequisite workflow is explicit: 'Needs a numeric Roblox asset id — get one from search_items first.' It also provides a field-interpretation rule for answering 'can I buy one at the original price' using creator_still_selling. However, it does not name alternative sibling tools or state when not to use this tool.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools map to a distinct resource/action, and descriptions explicitly disambiguate rank_creators from get_creator and player rankings from player holdings. The only notable overlaps are find_deals as a specialized filter of search_items and get_market_cap vs get_market_stats, though the descriptions clarify the differences.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern (find_*, get_*, rank_*, search_*). No mixed conventions or vague names like 'process' or 'execute' appear.

Tool Count5/5

12 tools cover a read-only market data domain without bloat. Each tool addresses a distinct query type: search, detail, rankings, aggregates, deals, recent items, and articles.

Completeness4/5

The surface covers core workflows: search/screen the catalog, drill into items, evaluate creators and players, check market aggregates, find deals, and retrieve guides. Minor gaps like item-level historical price series and filtering a creator's full catalog are not explicitly exposed, but agents can work around them with search_items and get_item_details.

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