Skip to main content
Glama

decker.get_assembly

Multi-timeframe optimal-path assembly per symbol (STRATEGY_LAYER §8): one deterministic machine verdict combining all live timeframes — direction, grade (aligned | structure+pullback | exhaustion-reversal), entry (now vs wait, with source TF), stop (risk stop), target (upper-TF target), RR, and a conditional switch coordinate on mixed structure. Upper TF supplies the target (slower = higher success), lower TF supplies the entry. This is the single judgment authority — narrate or filter it, do not re-decide coordinates. Omit symbol for all 14 universe symbols. ⚠ grade='aligned' means no OPPOSING-direction row exists among the active timeframes — it does NOT mean every timeframe's gate is GO/actionable right now. Check matrix_summary[].gate per timeframe before treating 'aligned' as 'all timeframes tradeable now'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoOptional symbol or alias (BTC, 비트코인, GOLD, 테슬라...). Omit for the full universe.

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and excels. It discloses the deterministic nature, the TF hierarchy (upper supplies target, lower supplies entry), and provides a crucial warning that grade='aligned' does not mean all timeframes are GO, explaining what 'aligned' actually means. This goes well beyond a generic read.

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 efficiently structured: a summary line, a dash-separated list of output components, a clear directive, and a warning. Every sentence earns its place, and the length is justified by the need to prevent misinterpretation of 'aligned'.

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?

Even without an output schema, the description enumerates all output components, explains the TF logic, and references matrix_summary[].gate for per-TF status. For a tool with one optional parameter and no output schema, this is fully self-contained.

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 covers the single symbol parameter at 100%, so the baseline is 3. The description adds valuable alias examples (BTC, 비트코인, GOLD, 테슬라) and clarifies the omit-symbol behavior for all 14 universe symbols, slightly exceeding the schema's 'Optional symbol or alias'.

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 uses a specific verb ('assembly') and names the resource ('multi-timeframe optimal-path per symbol'). It enumerates the exact outputs (direction, grade, entry, stop, target, RR, switch coordinate) and explicitly calls itself 'the single judgment authority,' which sharply distinguishes it from siblings like get_signals or get_market_state.

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 tells the agent when to use this tool ('This is the single judgment authority — narrate or filter it, do not re-decide coordinates') and gives a practical usage note for omitting the symbol to get all 14 symbols. However, it does not explicitly name alternatives for other contexts, so it misses the top score for explicit when-not/alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct purpose: state readings (raw vs. view vs. AI-synthesized), signals vs. historical triggers, execution (place/close/update stops), pre-trade validation, and skill management. Cross-references between tools (e.g., get_signals vs. get_trigger_history) explicitly clarify boundaries, leaving no ambiguity about which tool to call.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with the 'decker.' prefix: get_* for reads, place/close/update for actions, set_* for settings, and validate_* for checks. This uniformity makes the tool surface predictable and easy to navigate.

Tool Count5/5

14 tools is well-scoped for a comprehensive trading engine MCP, covering state observation, signal generation, execution, risk management, and user configuration. Each tool earns its place and there are no redundant or missing core functions.

Completeness5/5

The tool surface covers the full trading lifecycle: reading market state (multiple layers), obtaining signals and historical triggers, checking positions, opening/closing positions, updating protective stops, validating intent before orders, and managing skill overlays. The absence of a cancel_order tool is explicitly justified (only market orders), and the domain shows no obvious gaps.

Resources