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tengu_v3_intel_options_chain

Options-chain snapshot for a ticker: every contract with Greeks (delta/gamma/theta/vega), implied volatility, open interest, last quote/trade; filter by expiry or call/put side. PRIMARY tool for 'where's the gamma / IV smile / max pain by strike'. Pair with options_volume (flow) and gex (dealer positioning). 60s cache.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
tickerYesPath parameter 'ticker' (required).
contract_typeNo
expiration_dateNo

TDQS

A3.7/5.0
Behavior2/5

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

With no annotations, the description carries full transparency burden. It discloses a 60s cache and the included data fields, which is useful. However, it claims 'every contract' while the schema includes a limit parameter (max 250), creating ambiguity about response size. It also does not disclose output structure, pagination, rate limits, or authentication needs.

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?

Three sentences, front-loaded with the core purpose, followed by data details, use cases, and the cache note. Every sentence adds value and there is no redundancy or fluff.

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?

No output schema exists, so the description must convey return value shape. It lists what data is included (Greeks, IV, OI, quote/trade) and primary use cases, which gives a good sense of the output. However, it doesn't describe the response structure, how the limit parameter affects results, or the 'every contract' vs limit discrepancy, leaving gaps for a complex options-chain tool.

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?

Schema description coverage is only 25% and the ticker description is trivial ('Path parameter'). The description adds meaning for contract_type ('call/put side') and expiration_date ('expiry'), but limit is not explained at all. It partially compensates for low schema coverage but leaves the limit parameter (with default and max) semantically empty.

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 states a specific action and resource: 'Options-chain snapshot for a ticker' with detailed data fields (Greeks, IV, open interest, last quote/trade). It clearly differentiates from siblings by declaring itself the 'PRIMARY tool' for gamma, IV smile, and max pain analysis, and by naming complementary tools like options_volume and gex.

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?

Provides explicit context for when to use: 'PRIMARY tool for where's the gamma / IV smile / max pain by strike'. Also names related tools ('Pair with options_volume (flow) and gex (dealer positioning)'), giving clear guidance on selection. Lacks an explicit 'when not to use' statement but the primary-tool framing implies exclusions.

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.