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get_market_regime

The top-down market read: is the tape risk-on, be-selective, or stand-down? Returns the regime verdict, mode and permission ladder (index → sector → name) for each book (S&P 500, Nasdaq-100, macro, BTC/ETH crypto). Check this before acting on any name-level signal. Free tier: one market day delayed. Live sibling (x402, pay-per-call): get_market_regime_live. Each book's regime carries posture (headline, tone, tape_posture and the note that fuses the daily read with the intraday tape and the engine's management posture).

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 provided, the description carries the full burden of explaining behavior. It discloses that the tool is a read of the market tape, returns structured regime data, and operates with a one-market-day delay on the free tier. It also details the posture fields returned for each book, which is useful behavioral context beyond the name alone.

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 dense but every sentence earns its place: purpose, output contents, usage timing, tier limitation, live alternative, and field-level details. It is front-loaded with the core concept and does not waste words. The structure is easy to scan and decision-relevant.

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 read tool with no output schema, the description is remarkably complete. It enumerates the books covered, the regime posture fields, the free-tier delay, and the live sibling. An agent can confidently call this tool and understand what to expect without 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 tool has zero parameters, so the schema leaves nothing undocumented. The description adds value by explaining what the returned regime verdict represents and how it is structured across books. This meets the baseline for a no-parameter tool and slightly exceeds it by providing output context.

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 defines the tool as a top-down market read that returns a regime verdict, mode, and permission ladder across multiple books. It also names the live sibling, get_market_regime_live, and differentiates this tool as the free, delayed version. The verb and resource are specific, making the purpose unmistakable.

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 explicitly says to check this tool before acting on any name-level signal, which is strong usage guidance. It also distinguishes the free delayed tier from the pay-per-call live sibling, giving the agent a clear alternative. It does not fully spell out when to choose the live version vs. this one, but the context is clear.

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.

Resources