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NythosX Market Data

get_target_probability

Probability of reaching a target price. Probability that the price closes beyond a target within 1, 7 and 30 days, and the approximate probability of touching it, from 14-day ATR volatility (normal approximation; touch ~ 2x close-beyond by the reflection principle). Costs $0.005 USDC per call (x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesInstrument symbol
targetYesTarget price in the quote currency

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does disclose meaningful traits: a per-call cost of $0.005 USDC via x402 (a real invocation constraint) and the underlying method (14-day ATR normal approximation, touch ≈ 2x close-beyond). It does not describe error handling, symbol coverage limits, or response shape.

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?

Front-loaded with the core purpose, and the methodology and cost details are compressed into a parenthetical. The opening two sentences partially restate each other ('probability of reaching a target price' vs 'probability that the price closes beyond a target'), which is minor redundancy.

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?

No output schema exists, so the description must convey returns, and it does: close-beyond probabilities at three horizons plus a touch probability. Combined with the cost disclosure, an agent has enough to call and interpret it, though nothing is said about invalid symbols or failure modes.

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 100% for both parameters, so the schema already defines symbol and target. The description adds only implicit context that target is evaluated against closes at 1/7/30-day horizons, which is the baseline level of added value 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.

Purpose4/5

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

The description states a precise computation: the probability that price closes beyond a target at 1, 7 and 30 days, plus a touch probability. It is clearly distinct from siblings like get_support_resistance or get_market_regime, though it never explicitly contrasts itself with them.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives such as get_support_resistance or get_advisor_verdict, and no prerequisites or exclusions. The only guidance-like content is the per-call cost.

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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