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get_crypto_setups

Crypto SETUP scan PREVIEW: how many of the 81 Robinhood-tradable coins currently show one of the two washed-shape SETUP patterns, plus the top-3 hits by grade with GO, fuel vs BTC and room. A LIVE trimmed slice of the paid scan, so you can judge the read before paying for it. Shapes were backtest-confirmed on equities and are forward-graded on crypto — a descriptive marker, not advice. Full hit list + per-coin column: get_crypto_setups_live (x402, $0.05).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does well: it discloses the scan is live, trimmed/preview-only, not investment advice, and that the pattern grading is forward-graded on crypto while backtest-confirmed on equities. It also signals the commercial context by mentioning the paid version, which helps set expectations about scope and reliability.

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 tight sentences: the first front-loads exactly what the tool returns, the second explains its purpose as a paid-scan preview, and the third adds an important methodological disclaimer. Every clause earns its place, and the sibling tool reference is efficiently appended.

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?

For a zero-parameter, no-output-schema informational tool, the description is complete: it states the counts, fields, grading scope, live nature, preview limitation, disclaimers, and the paid alternative. An agent can call this tool and interpret its result without needing additional context.

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?

The input schema has zero parameters with 100% coverage, so there is no parameter burden for the description to bear. The baseline for a no-parameter tool is 4, and the description appropriately adds no confusing parameter details.

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 identifies the tool as a preview of a crypto SETUP scan, specifying it reports how many of 81 Robinhood-tradable coins show one of two washed-shape patterns and lists the top-3 hits with specific fields (grade, GO, fuel vs BTC, room). It also differentiates itself from the sibling get_crypto_setups_live by labeling this one a 'PREVIEW' and 'trimmed slice' of the paid version.

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 states the tool is a 'LIVE trimmed slice of the paid scan, so you can judge the read before paying', giving clear context for when to use it. It names the alternative get_crypto_setups_live for the full hit list, though it could more explicitly state 'use this for preview; use live for full results'.

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

B3.2/5.0
Disambiguation3/5

Most market-data and storefront tools are cleanly scoped, but there is meaningful overlap: get_full_board and get_engine_feed are near-duplicates, get_buy_list overlaps with get_morning_brief's candidate list, and get_orders / get_order_status are identical NotOffered stubs. The free/live twin pairs are clearly labeled so agents can distinguish latency/payment intent, but the sheer number of related reads creates selection friction.

Naming Consistency4/5

The large get_* data family is very predictable (get_stock_read, get_stock_read_live, get_rotation, get_rotation_live), and storefront ools use clear verb_noun actions (add_to_cart, remove_from_cart, save_memory). Minor deviations like checkout_handoff and the get_live_setup / get_live_rules naming (which could be misread as *_live twins) keep it from a perfect score.

Tool Count2/5

46 tools is well abovethe 25+ threshold for a coherent toset; at leat13 are direc live twins of free readable plus a 14-tool storefont/memory subdomain. Many could be consoliated into ingle tools with a delay/live param or a single storefront resource, making the surface feel bloated for agents.

Completeness4/5

The market-data surface is very comphehensive: regime, buy-list, hold-state, rotation, sector, stock, crypto day/night/trend/setups, full board, archived board, changes, and engine-feed coverage leave few dead ends for the stated trading-intelligence purpose. Storefont is adequate but has minor acknowledged gaps—orders/order-status are NotOffered stubs and session memories have no update/delete—so it is not a perfect 5.

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