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parse_trade_intent

Translate natural-language trading prompts into structured parameters for Binance Agent OS, enabling downstream risk checks and order execution.

Instructions

Translates natural language user trading prompts into structured parameters for Binance Agent OS.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesFree-form user prompt (e.g. 'Hedge 20% of my BTC position if price drops below 60k')

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'translates' without detailing the output shape, error behavior, or side effects. It does not clarify whether parsing is purely local or involves remote calls, nor does it describe how the structured parameters are returned.

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 a single, front-loaded sentence with no filler words. It conveys the essential purpose efficiently and earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema, yet the description does not explain the structure or format of the 'structured parameters' it produces. An agent would need to know the keys, types, or example output to correctly chain this tool with downstream trading tools. The one-liner is too sparse for reliable invocation.

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%, so the schema already describes the single 'prompt' parameter with an example. The description does not add parameter-level meaning beyond calling it a 'user trading prompt', which is consistent with the schema, earning the baseline score.

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 clear action ('Translates natural language user trading prompts') and a resource ('into structured parameters for Binance Agent OS'), making the core function immediately understandable. It is distinct from siblings like evaluate_trade_risk and execute_hedged_trade, though it does not explicitly name them to preempt confusion.

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?

The description provides no guidance on when to use this tool versus its siblings, nor does it mention any preconditions or follow-up steps. It simply defines the action, leaving the agent to infer that this is a natural first step for trade intent processing.

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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