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Get CS2 Trade Up preview

get_tradeup_preview

Get the free preview of the SkinGrind Trade Up scanner: the featured Trade Ups with their full recipes, the number of contracts currently active, and locked teasers for recent finds showing their economics and when they unlock. Every input has to be bought at or below its target float, and the costs are hourly price estimates, so the response carries execution_notes explaining what to verify before buying. Full recipes for the whole feed need a SkinGrind account and the authenticated server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoWhich Trade Up feed to preview: "profitable" for contract Trade Ups, "knife" for knife and glove Trade Ups, or "all". Defaults to all.

TDQS

A4/5.0
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 discloses that costs are hourly estimates, inputs must be bought at or below target float, and the response includes execution_notes with verification guidance. It also explains the free preview vs. authenticated full-recipe limitation, which goes beyond the basic schema.

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 three sentences, front-loaded with the core purpose, and every sentence adds substantive context: the preview contents, cost/float caveats, and authentication requirements. There is no filler or redundancy.

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 the tool has one optional parameter, no output schema, and no annotations, the description covers the return values, limitations, and verification notes well. It could be slightly more explicit about default behavior or exact response shape, but it is sufficiently complete for an agent to understand and invoke the tool.

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 already provides 100% coverage for the single 'type' parameter with a clear enum and description. The tool description does not add additional parameter-specific semantics, but since schema coverage is complete, the baseline score of 3 is appropriate.

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 the tool's purpose with a specific verb ('Get') and resource ('free preview of the SkinGrind Trade Up scanner'), and enumerates what the preview includes: featured Trade Ups, active contracts, and locked teasers. This distinguishes it from siblings like browse_cases or get_case_roi_ranking, which focus on different data.

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 description implies when to use the tool (to get a free preview of Trade Ups) and notes a limitation (full recipes require an authenticated account), but it does not explicitly state when not to use it or name alternatives. It provides context but lacks direct comparative guidance.

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

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct aspect of CS2 cosmetics: browsing categories, searching, getting details, and ROI calculations. There is no overlap as browse/get/search verbs are clearly separated by resource type.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., browse_bargains, get_case_roi_ranking, search_skins), using underscores and clear action words.

Tool Count5/5

With 9 tools, the server covers the core functionality of browsing, searching, and analyzing CS2 skins and containers without being overly large or sparse.

Completeness4/5

The tool set covers browsing, searching, detail retrieval, and ROI analysis for cases and armory. A minor gap is the lack of user account operations or direct trading, but the server's scope is well-defined.

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