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Agent Einstein — Crypto & Market Intelligence

Live Trade Signals

get_trade_signals
Read-onlyIdempotent

Einstein's current live trade signals — the setups its own autonomous engine is acting on, with entry, stop and target levels and the reasoning behind each. [Paid: $0.50 per call from your Einstein credit balance. Free alternatives exist for several of these — see list_einstein_capabilities.]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results (1-100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
skillNoWhich Einstein capability answered. These tools route onto one of many skills by an enum argument, so this names the branch that actually ran.
reasonNoWhy there is no analysis, when `available` is false.
analysisNoThe written answer, identical to the result's text block. This is the field to read: the rest of the payload is whichever capability answered, and its shape varies by tool and by argument.
availableNoTrue when the analysis ran. False when it did not — no capability matched the arguments, the caller is out of credit, billing was unavailable, or the skill produced nothing. NOT a statement about the market.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "analysis": {
      +      "description": "The written answer, identical to the result's text block. This is the field to read: the rest of the payload is whichever capability answered, and its shape varies by tool and by argument.",
      +      "type": "string"
      +    },
      +    "available": {
      +      "description": "True when the analysis ran. False when it did not — no capability matched the arguments, the caller is out of credit, billing was unavailable, or the skill produced nothing. NOT a statement about the market.",
      +      "type": "boolean"
      +    },
      +    "reason": {
      +      "description": "Why there is no analysis, when `available` is false.",
      +      "type": "string"
      +    },
      +    "skill": {
      +      "description": "Which Einstein capability answered. These tools route onto one of many skills by an enum argument, so this names the branch that actually ran.",
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  2. Added

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the readOnly/idempotent annotations, the description discloses a per-call cost ($0.50) and notes that free alternatives exist. It does not mention any side effects or errors, but the cost and alternative availability are valuable behavioral details not present in annotations.

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 concise, with the core purpose stated first, followed by cost and alternative guidance. It is well-structured and free of fluff, making it easy for an agent to parse quickly.

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 description gives sufficient context about the returned data (levels and reasoning) and the current live nature of signals. It lacks details on output format or pagination, but for a simple read-only tool with one parameter, it provides enough to decide when and how to use it.

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?

The only parameter 'limit' is already fully described in the schema with its default and range. The tool description adds no extra meaning about the parameter, so it matches the baseline score for high schema coverage.

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 that this tool provides Einstein's current live trade signals, including entry, stop, target levels, and reasoning. It specifies the unique source ('autonomous engine') and distinguishes it from sibling tools that offer other market data.

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?

The description indicates the tool is paid and points to free alternatives via list_einstein_capabilities, giving the agent a clear choice. However, it does not explicitly state 'use this when you need Einstein's own signals' or contrast with a specific sibling, so guidance is slightly less explicit.

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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