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get_verdict

PAID $0.03 (x402, USDC on Base or Solana). Rule-based long/short/watch/avoid verdict for one trade.xyz stock perp, using the perp-vs-stock gap, basis, funding and SEC EDGAR insider and filing signals, with reasons and confidence. Includes a news block (up to 5 items in 48h: SEC 8-K filings, Fed/BLS macro releases, press-wire items as our own one-line summary + link) and a heuristic news_context label (likely news-driven / news present, move small / possibly macro-driven / no matching news). Data, not financial advice.

Input Schema

NameRequiredDescriptionDefault
tickerYesOne ticker, e.g. NVDA

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / ticker / description
      Previous value: -"One ticker, e.g. GME"New value: +"One ticker, e.g. NVDA"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses the $0.03 x402 payment requirement, USDC chains, signal sources, verdict categories, included news block, news_context labels, and a disclaimer. It does not cover rate limits, latency, or error behavior, so it is strong but not exhaustive.

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 front-loaded: cost/payment comes first, followed by the core verdict purpose and the returned content. Every sentence contributes useful information for a complex composite tool.

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?

There is no output schema, so the description must explain return content, and it does: verdict types, reasons and confidence, news block details, and heuristic news_context labels. Given the single required parameter and lack of annotations, this is complete enough for an agent to call the tool correctly.

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 single ticker parameter is already documented in the schema with an example. The description reinforces that the call is for one stock perp but adds no further ticker syntax or format details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: a rule-based long/short/watch/avoid verdict for one trade.xyz stock perp. It clearly scopes the tool to a single stock perp, but it does not explicitly contrast itself with sibling tools such as get_gaps, get_funding, or get_research_card.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by 'verdict for one trade.xyz stock perp,' so an agent can infer it is for requesting a synthesized trading verdict on a single ticker. However, there is no explicit when-to-use, when-not-to-use, or alternative-tool guidance.

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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