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veroq_fast_snapshot

Retrieve a pre-computed trading signal for any ticker with score, direction, and factors using a fast lookup from pre-computed data, faster than running full analysis.

Instructions

Pre-computed signal for one ticker — fast lookup without running full analysis.

WHEN TO USE: When you need the signal for a specific ticker quickly. Faster than veroq_ticker_score because it reads pre-computed data. RETURNS: Ticker signal with score, direction, and factors. COST: 1 credit. EXAMPLE: { "ticker": "NVDA" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesTicker symbol (e.g. AAPL, NVDA, TSLA)
Behavior4/5

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

No annotations provided; the description discloses it's a read operation, returns score/direction/factors, and costs 1 credit. However, it does not mention error handling or edge cases like invalid tickers.

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 very concise: 4 sentences covering purpose, usage, returns, cost, and example. No wasted 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?

For a simple tool with 1 parameter and no output schema, the description covers purpose, usage, returns, and cost. It could optionally detail output structure but is adequate.

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 coverage is 100% and the parameter description is already clear. The description only uses the ticker in an example, adding no new semantic detail beyond the schema.

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 it provides a pre-computed signal for one ticker, a fast lookup. It distinguishes itself from the sibling tool veroq_ticker_score by highlighting speed.

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?

The WHEN TO USE section explicitly tells when to use this tool (for quick signal) and names the alternative (veroq_ticker_score). Offers clear context.

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

Install Server

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