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oracle.historical-analysis

Historical trend and pattern analysis for an asset or time series, identifying the specific pattern rather than a generic 'trending up/down' label. Settlement proof: ProofOfSettledOutcome (kind 30120, data/proof_settled_outcomes.jsonl). Feeds crypto.investment-plays' entry/exit logic; distinct from oracle.volatility-monitor's real-time (not historical) read. Refuses, with no charge, when price history ≥30d cannot be fetched. (x402: $0.08 USDC per call)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNoTask/query text for this SKU

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden and does well: it discloses the failure mode (refuses, with no charge, when >=30d history cannot be fetched), the pricing model ($0.08 USDC per call via x402), and the settlement-proof artifact. It does not cover latency, rate limits, or the exact shape of the returned pattern data.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three dense sentences, front-loaded with the core purpose before routing and failure/cost details. Every clause carries information, though the parenthetical settlement-proof and pricing notes are stacked at the end rather than woven into the flow.

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 one-parameter tool with no output schema and no annotations, the description covers purpose, routing, failure behavior, cost, and the settlement-proof output artifact, which is enough to call it correctly. Minor gaps remain around return format and latency, but these are secondary for this 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?

There is a single parameter ('task') with 100% schema description coverage, so the schema already documents it. The description adds no syntax, format, or content guidance for the task string, which is the expected baseline-3 outcome when the schema does the heavy lifting.

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?

States a specific verb+resource (historical trend/pattern analysis for an asset or time series) and explicitly differentiates its output from a generic up/down label. It also names the sibling it is not (oracle.volatility-monitor) and its downstream consumer (crypto.investment-plays), so an agent can place it precisely.

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?

Gives clear selection context: historical (not real-time) analysis, feeding crypto.investment-plays entry/exit logic, and the explicit refusal condition (price history >=30d unavailable). It names one alternative (oracle.volatility-monitor) but does not survey other oracle siblings an agent might confuse it with.

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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