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get_board_changes

What CHANGED on the board since your last check. Pass since = the state_hash you stored from the FREE /api/board/state poll; returns which names entered or left the READY candidate pool, per-name trend-state / light / leadership / hold-band flips, and any regime or permission-ladder move per book. This is the loop primitive: poll the free hash, call this only when it moves. An unchanged hash is answered FREE and never billed. No free twin — /api/board/state is the free half. $0.01 USDC per call (x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceYesstate_hash from a previous /api/board/state poll (16 hex chars)

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description fully covers behavioral aspects: it discloses the billing model ($0.01 USDC per call, free on unchanged hash), the read-only nature (implied by polling), and the precise output scope. It also notes there is no free twin, preventing confusion about costs.

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

Conciseness4/5

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

The description is information-dense but not padded; every sentence serves a purpose (purpose, usage, billing). It is slightly verbose but justified by the tool's complexity. The key loop-primitive usage is front-loaded, and the billing note is clearly separated.

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?

Given the absence of an output schema, the description adequately details the return contents (names entering/leaving READY, state flips, regime changes). It also covers input derivation, cost, and the relationship to the free poll. An agent has everything needed to call it correctly and interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter `since` is documented in the schema, but the description adds critical context by explaining its origin (state_hash from a previous /api/board/state poll), its format (16 hex chars), and its role in the polling loop. This goes beyond the schema's bare definition.

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 it returns changes on the board since a prior state_hash, specifying the exact types of changes (READY pool entries, trend-state/light/leadership/hold-band flips, regime/permission-ladder moves). It explicitly distinguishes itself from the free /api/board/state poll and the broader board tools, making its 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 Guidelines5/5

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

Provides explicit usage guidance: 'This is the loop primitive: poll the free hash, call this only when it moves.' It also explains the free response on unchanged hash and clarifies the relationship with /api/board/state, effectively telling an agent when to call this tool versus relying on the free endpoint.

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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