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get_live_setup

How to connect this agent to Coil Live (free to call): what the subscription unlocks (every *_live tool without payment + get_engine_feed + get_live_rules), how to send the license key, the recommended cadence, and what happens fail-closed if you stop paying. No key needed for this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4/5.0
Behavior4/5

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

Without annotations, the description must carry behavioral info. It discloses that the tool itself is free, that other live tools require a subscription, and that failing closed occurs on non-payment. It doesn't mention side effects beyond that, but it covers the key behavioral caveat. A 4 is appropriate given the absence of annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single long sentence that packs in multiple aspects (connection, licensing, cadence, fail-closed behavior). It is dense but somewhat run-onholish. It is not particularly concise or front-loaded; key information is mixed together. It could be more structured into distinct clauses or sentences for clarity.

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

Completeness3/5

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

The description covers the connectivity and subscription context thoroughly, but it does not explain what the tool returns or how it fits into the workflow besides setup. With no output schema, the agent might be unclear about the tool's output. It lacks explicit mention of return value or operational effects beyond instructions.

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?

There are no parameters, and schema coverage is 100% (empty). The description doesn't need to explain parameters, but it does add meaning by explaining the tool's role and the context of the live subscription. Since there are no parameters, the baseline for schema coverage is high, so this is slightly above baseline due to added value about the tool's purpose.

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 explicitly states the tool's purpose: 'how to connect this agent to Coil Live' and clarifies it is 'free to call'. It also implies the tool provides setup configuration informationches. It distinguishes from sibling tools by focusing on connection/licensing, while other tools are data-fetching. However, it does not directly state what the tool returns, leaving some ambiguity.

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

Usage Guidelines5/5

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

The description gives explicit guidance: what subscription unlocks (every *_live tool, engine_feed, live_rules), how to send the license key, recommended cadence, and behavior when payment stops. It clearly frames when to use this tool (for connection setup) and contrasts with other toolscripter.

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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