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tengu_v3_intel_chart

Candlestick chart with optional RSI/MACD/Bollinger overlays — returns a base64 PNG in a standard image envelope plus an OHLCV summary block (interval minute|hour|day|week|month, default day; 120 bars). Call this when the user asks to see a chart; powers chart-emitting skills (TA Master, Trading Plan, Apex Equity Intel).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
barsNo
tickerYesPath parameter 'ticker' (required).
intervalNoday
indicatorsNorsi,macd,bb

TDQS

A4.2/5.0
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 disclosing behavior. It details the output format (base64 PNG, OHLCV summary), supported intervals, default bar count, and optional indicators. This gives a clear picture of the call's outcome, though error handling or data limitations are not mentioned.

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 two sentences, front-loaded with the core function and output, followed by usage context. Every clause contributes essential information without redundancy.

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

Completeness4/5

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 and annotations, the description covers the key aspects: when to use, what is returned, the interval options, and the default bar count. It omits details about the 'standard image envelope' structure and potential error cases, but for a chart tool this is sufficiently complete to guide correct invocation.

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

Parameters3/5

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

The schema only documents the ticker, so the description adds value by enumerating intervals, specifying the default bar count, and mentioning the RSI/MACD/Bollinger overlays for the indicators parameter. However, it does not explain the exact syntax for the indicators list or the meaning of the bars parameter beyond the default, leaving partial gaps.

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 the tool produces a candlestick chart with optional technical overlays and returns a base64 PNG plus an OHLCV summary. It explicitly positions itself as the go-to chart tool with 'Call this when the user asks to see a chart,' distinguishing it from the many data-lookup siblings.

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?

It provides an explicit when-to-use directive ('Call this when the user asks to see a chart') and notes that it powers chart-emitting skills. It does not explicitly mention when not to use it or name alternative tools, but the context is unambiguous given the large tool landscape.

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

C2.9/5.0
Disambiguation2/5

With 336 tools, there is substantial overlap. Over a dozen health/status tools share nearly identical 'is the system healthy?' descriptions (e.g., tengu_status, tengu_ready, tengu_ml_health, tengu_v3_system_health, tengu_v3_stream_status), and multiple single-ticker analysis (tengu_ml_predict, tengu_copilot_score_ticker, tengu_v3_intel_ml_prediction) and top-picks (tengu_copilot_top_picks, tengu_ml_top_picks, tengu_v3_trade_setups) tools have poorly defined boundaries. Agents would frequently misselect.

Naming Consistency2/5

The server mixes no-version (tengu_crypto), v2 (tengu_v2_drift), v3 (tengu_v3_intel_*), and copilot (tengu_copilot_*) families, and within families there is inconsistent verb/noun ordering (tengu_v3_research_fetch_url vs tengu_v3_news_summary). While subfamilies like tengu_v3_private_markets_* are internally consistent, the overall naming pattern is chaotic and unpredictable.

Tool Count1/5

336 tools is far beyond any reasonable tool set size, even for an all-in-one financial data platform. This extreme count creates choice paralysis, high latency in tool selection, and makes the server effectively unusable for autonomous agents. The calibration guideline marks 50+ as extreme; this is nearly 7x that threshold.

Completeness4/5

The platform covers a vast domain: equity and crypto prices, fundamentals, insider trading, options, news (including crypto and FX), private markets, streaming data, risk metrics, and execution planning. There are minor gaps (no direct multi-ticker comparison tool, no order placement), but the surface is remarkably comprehensive for an analysis-focused server.