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pyalgobot

angelone-mcp

by pyalgobot

get_trade_book

Retrieve a complete list of all executed trades for the current trading day. Use this to review filled orders and track daily trading activity.

Instructions

Get all executed trades for the day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of explaining behavior. It clearly signals a read-only operation ('Get') and a day-limited scope, but it does not disclose whether the result is paginated, sorted, or strictly limited to the current trading session versus the calendar day.

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?

A single, front-loaded sentence with no filler or redundant restatement of the tool name. Every word adds meaning: 'all', 'executed trades', and 'for the day'.

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

Completeness3/5

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

The description is adequate for a simple, parameterless read operation, and an output schema exists to define the return shape. However, it leaves ambiguity about the meaning of 'the day' and gives no hint about ordering or pagination, which matters for a potentially large trade list.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and 100% schema coverage, so there is nothing to document. The phrase 'for the day' provides a useful implicit filter that is not visible in the empty 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 uses a specific verb ('Get') and a clear resource ('executed trades'), with a daily time scope, so an agent understands it returns today's fills. It does not explicitly contrast with get_order_book or get_positions, but 'executed trades' is specific enough to separate it from order-level and position-level tools.

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 guidance about when to prefer this tool over siblings such as get_order_book, get_individual_order_details, or get_positions. The 'for the day' clause only narrows the time range; it does not say when this tool is appropriate or when another should be used.

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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