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Ax3lsk3r3

ATAS MCP Bridge

atas_place_order

Place buy or sell orders in ATAS with limit, stop, market, or stop-limit types. Set quantity, price, trigger price, and optional label; prices snap to tick size.

Instructions

Place an order through ATAS. Parameters: direction ('buy' or 'sell'); order_type ('limit', 'stop', 'market', or 'stoplimit'); qty (number of contracts/lots); price (required for limit and stoplimit); trigger_price (required for stop and stoplimit); comment (optional order label). Prices are automatically snapped to instrument tick size.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qtyYes
priceNo
commentNo
directionYes
order_typeYes
trigger_priceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses one behavioral trait (prices snapped to tick size) but does not state that this submits a live order, may execute, requires a connection, or what side effects or confirmations result.

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 compact paragraph that front-loads the purpose and then lists parameters with their constraints. Every clause adds useful information, with no filler or repetition.

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?

All six parameters are covered and one key behavioral detail is given. The output schema exists, so return-format description is not necessary. It still omits order-lifecycle context such as live submission and execution risk, and does not route the agent to sibling tools, but it is largely sufficient for calling the tool.

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

Parameters5/5

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

Schema description coverage is 0%, and the description compensates thoroughly: it defines direction values, order_type values, qty meaning, conditional price/trigger_price requirements, and comment optionality. This adds meaningful conditional logic beyond the bare schema.

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 opens with a specific verb and resource: 'Place an order through ATAS.' This clearly distinguishes it from sibling tools like atas_cancel_order and atas_orders, and the parameter list reinforces the core action.

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

Usage Guidelines3/5

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

The description gives explicit conditional usage rules for parameters (price required for limit/stoplimit, trigger_price required for stop/stoplimit), which helps correct invocation. However, it does not mention when to use this tool versus alternatives or state any exclusions, so tool-selection guidance is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.