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Glama

RBX Invest Roblox Limiteds market data

Recent UGC Limited releases

get_new_limiteds

UGC Limiteds released recently, with demand level, stock left and the predicted profit numbers RBX Invest scores them with.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNonewest
limitNo
queryNoPart of an item name, to search within recent releases.
hide_freeNoDrop items the creator released at 0 R$.
availabilityNoall
max_age_daysNo
resellable_onlyNoOnly items whose resale window has opened.
all_experiences_onlyNoOnly items sold in any experience — the ones a buyer can list in their own game and keep the 40% affiliate commission on.

Schema Changelog

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

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose that the output contains demand, remaining stock, and predicted profit figures, which is useful. However, it does not mention filtering behavior, default recency windows, pagination, or whether results can be customized via the provided parameters.

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?

The description is one concise, front-loaded sentence. It names the resource first and then adds the most decision-relevant data qualities without unnecessary detail.

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

Completeness2/5

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

This tool has 8 parameters, no output schema, and no annotations, which makes the description the primary source of context. The current description explains the general output but omits available filters, sort options, defaults, and recency limits, so it is not complete enough for correct invocation in varied scenarios.

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

Parameters2/5

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

Schema description coverage is only 50%, and the description adds no meaning to any parameter. It mentions output fields but does not help an agent understand sort, limit, query, availability, max_age_days, or the boolean filters. The description does not compensate for the undocumented half of the schema.

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?

The description clearly identifies the resource as recently released UGC Limiteds and specifies the kind of data returned (demand level, stock left, predicted profit scores from RBX Invest). This distinguishes it from siblings like search_items at a high level, though it does not explicitly name any sibling.

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

Usage Guidelines3/5

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

The phrase 'released recently' implies the tool is for recent UGC releases, and the inclusion of RBX Invest scores suggests a use case around evaluating profit potential. However, there is no explicit guidance on when to prefer this tool over search_items or get_item_details, nor any exclusion criteria.

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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