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decker.get_signals

Active trading signals for the current user (with Skill Overlay applied), in customer-facing shape: coordinates (entry/target/stop), decision (ENTER/WAIT/SKIP — is_actual_trigger=true only for ENTER; WAIT/SKIP are standing candidates, not executed triggers), action_gate posture (GO/WATCH/HOLD — a stance, not an order command), progress, MTF verdict, and a plain-language summary_ko line. risk_reward_ratio is computed on the DISPLAYED coordinates (after overlay). Signals are retained rather than cut when they age (turn-retention policy) — read freshness_state (open|aged) / age_bars / freshness_sec before treating an old PENDING row as current. Filtered by symbols / min_progress / action_gate — action_gate here filters the CURRENT-MOMENT representative state, it does not search history (almost always 0 rows unless a gate is GO right now); for past GO events with their entry/target/stop and realized performance use decker.get_trigger_history instead. Before placing any order through any execution tool, check the intent with decker.validate_intent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
symbolsNoSymbol filter (e.g. ['BTCUSDT','ETHUSDT']). Omit for all.
timeframeNoSignal horizon filter (30m=scalp, 1h=swing, 4h/8h/1d=position). The same symbol can hold OPPOSITE directions on different horizons — omit to get the latest active signal regardless of horizon (its timeframe field says which one you got; when a specific symbols[] was requested, a row's other_horizon_conflict field flags it if another horizon is ACTIVE with the opposite direction). Prefer decker.get_assembly for the composed cross-horizon judgment instead of guessing which horizon to pass here.
action_gateNoEngine action gate filter (3-layer grammar: gate = transition posture, not an order command). Rows where the engine emitted no gate for this bar (effective_action_gate null, e.g. KRX daily) are excluded when this filter is set.
min_progressNoMinimum progress_pct (0-100).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / timeframe / description
      Previous value: -"Signal horizon filter (30m=scalp, 1h=swing, 4h/8h/1d=position). The same symbol can hold OPPOSITE directions on different horizons — omit to get the latest active signal regardless of horizon (its timeframe field says which one you got)."New value: +"Signal horizon filter (30m=scalp, 1h=swing, 4h/8h/1d=position). The same symbol can hold OPPOSITE directions on different horizons — omit to get the latest active signal regardless of horizon (its timeframe field says which one you got; when a specific symbols[] was requested, a row's other_horizon_conflict field flags it if another horizon is ACTIVE with the opposite direction). Prefer decker.get_assembly for the composed cross-horizon judgment instead of guessing which horizon to pass here."
  2. First observed

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does so well: it discloses the turn-retention policy (aged signals are retained, not cut), that is_actual_trigger=true only for ENTER while WAIT/SKIP are unexecuted candidates, that action_gate is a stance not an order command, and that risk_reward_ratio is computed on post-overlay displayed coordinates. It does not state read-only/side-effect profile or rate/limit behavior, so it falls short of a 5.

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?

Front-loaded with the payload shape before the caveats, and nearly every clause carries operational information (freshness policy, gate semantics, sibling routing). It is dense but slightly overpacked in a single block, with the action_gate 'stance not order command' point echoed in both the description and the schema.

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?

With no output schema and no annotations, the description compensates fully: it enumerates the returned fields (coordinates, decision, action_gate posture, progress, MTF verdict, summary_ko, risk_reward_ratio, freshness_state, age_bars, freshness_sec) and explains the retention/freshness caveat needed to interpret old rows correctly.

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?

Schema coverage is 80%, so baseline is 3, and the description adds real semantic weight beyond the schema: the action_gate filter operates on the current-moment representative state rather than history, and freshness_state/age_bars/freshness_sec must be consulted before treating a PENDING row as current. It adds meaning to how filter results should be interpreted rather than just restating parameter names.

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?

States a specific verb+resource (active trading signals for the current user, with Skill Overlay applied) and immediately characterizes the returned shape (coordinates, decision, action_gate, progress, MTF verdict, summary_ko). It is clearly distinguished from decker.get_trigger_history, decker.get_assembly, and decker.get_engine_state_raw by name.

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?

Explicit routing: action_gate filtering does NOT search history and 'almost always' returns 0 rows, so past GO events should go to decker.get_trigger_history; cross-horizon judgment should use decker.get_assembly; any order should be preceded by decker.validate_intent. This is textbook when/when-not/alternative 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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