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tengu_v3_fundamentals_pit

WHAT THE MARKET ACTUALLY KNEW on a given date — as-FIRST-REPORTED quarterly financials for a ticker as they stood on as_of: for each fiscal period, the latest published version whose knowledge date is on or before that day. Later restatements are excluded BY CONSTRUCTION, which is what makes this safe to backtest on — the ordinary financials endpoints serve the restated view and will leak look-ahead. Each period also reports whether it has been restated since and what the figure reads today, so you are never silently handed a stale number. Omit as_of for the current view. Figures are in MILLIONS of each filing's own reporting currency (carried per period) — never assume USD.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofNo
consolNo
indfmtNo
popsrcNo
tickerYesPath parameter 'ticker' (required).
datafmtNo
periodsNo

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations provided, the description carries the full disclosure burden. It reveals key behavioral traits: exclusion of later restatements by construction, reporting of whether each period has been restated and its current value, and the currency assumption (millions of filing's own reporting currency). These go beyond simple 'returns financials' and are critical for safe usage.

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 a single dense paragraph with each sentence serving a purpose. It front-loads the core purpose, then explains the restatement avoidance, current view behavior, and currency handling. No superfluous words.

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?

The tool has 7 parameters and no output schema. The description covers the main use case (backtesting), as_of semantics, restatement disclosure, and currency. However, it does not explain the remaining parameters or the return structure beyond the restatement flags. Given the complexity, this is a minor gap; overall context is adequate.

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

Parameters2/5

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

Schema description coverage is only 14% (only ticker has a description). The description adds meaning only for as_of ('Omit as_of for the current view') but leaves consol, indfmt, popsrc, datafmt, and periods entirely unexplained. Given the low schema coverage, the description should compensate more, but it does not.

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 returns 'as-FIRST-REPORTED quarterly financials for a ticker' as of a given date, using a specific verb ('returns') and resource. It distinguishes itself from ordinary financials endpoints that serve restated views, which is a clear sibling differentiation.

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?

It explicitly states when to use this tool: 'safe to backtest on' because restatements are excluded. It also contrasts with 'ordinary financials endpoints' that 'will leak look-ahead', providing a clear when-not. Additionally, it gives a usage instruction: 'Omit as_of for the current view.'

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.