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Open-Agent-Tools

Open Stocks MCP

buy_stock_limit

Place a limit buy order to purchase stocks at a specified maximum price per share.

Instructions

Places a limit buy order for a stock.

Args:
    symbol: The stock symbol to buy (e.g., "AAPL")
    quantity: The number of shares to buy
    limit_price: The maximum price per share

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
quantityYes
limit_priceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It fails to mention order duration (e.g., GTC vs day order), commission, or what happens if the limit price is not met. The description only covers the basic action of placing an order.

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?

The description is concise and front-loaded with the purpose. The Args section is clearly structured. Every sentence adds value, with no superfluous content.

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 tool has 3 required parameters and an output schema (not shown in description). The description does not cover return values or order execution details, but given the output schema exists, this is acceptable. However, it lacks important behavioral context like order duration or market hours, which are relevant for a trading tool.

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 0%, but the description's Args section adds brief explanations for each parameter (e.g., 'maximum price per share' for limit_price). This provides some meaning beyond the schema's just titles, though it could be more specific (e.g., quantity must be integer, limit_price positive).

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 it places a limit buy order for a stock, with examples like 'AAPL'. This distinguishes it from sibling tools like 'buy_stock_market' (market order) and 'sell_stock_limit' (sell order).

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 does not explicitly state when to use this tool over alternatives. However, sibling tool names like 'buy_stock_market' and 'sell_stock_limit' imply that limit orders are placed when a specific maximum price is desired. No exclusion criteria or prerequisites are provided.

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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