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RBX Invest Roblox Limiteds market data

One collector's public portfolio

get_player_holdings

What a tracked player holds: their most valuable positions plus the totals the leaderboard ranks them on. Follows rank_players, which returns the Roblox user id this needs. A player who set their inventory private comes back marked private rather than empty.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
roblox_user_idYesNumeric Roblox user id, e.g. "27170037".

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It explains the output contents and explicitly handles the private-inventory edge case: such a player 'comes back marked private rather than empty.' It doesn't address auth or rate limits, but the core behavior is well disclosed.

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?

Three compact sentences, each earning its place: the output summary, the prerequisite relationship to rank_players, and the private-inventory behavior. No filler or repetition.

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?

For a simple two-parameter tool with no output schema, the description covers what is returned, how to obtain the required input, and an important edge case. It could be more explicit about how limit affects results, but it is largely complete for invoking the tool correctly.

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?

The schema documents roblox_user_id and gives constraints for limit, but the description only adds meaning for roblox_user_id by saying rank_players returns it. The limit parameter's effect on the returned holdings is not described, so the agent must infer it from the parameter name and defaults.

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 clearly states what the tool returns: a tracked player's most valuable holdings and the totals the leaderboard ranks them on. It differentiates this from sibling tools like get_community_holdings by focusing on a single player, and explicitly ties it to rank_players.

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 description gives clear usage context: it should be used after rank_players, which provides the required roblox_user_id. It does not explicitly list exclusions or alternatives, but the sequencing guidance is strong enough to orient the agent.

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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