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place-market-order

Execute market orders on specified exchanges by defining amount, side (buy/sell), symbol, and authentication details. Integrates with the PCM MCP server for streamlined trading operations.

Instructions

Place a market order on an exchange

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYesAmount to buy/sell
apiKeyYesAPI key for authentication
exchangeYesExchange ID (e.g., binance, coinbase)
marketTypeNoMarket type (default: spot)
secretYesAPI secret for authentication
sideYesOrder side: buy or sell
symbolYesTrading pair symbol (e.g., BTC/USDT)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'place a market order' but doesn't explain key traits like whether it's a read/write operation, potential risks (e.g., financial loss), rate limits, or error handling. This leaves significant gaps for an AI agent to understand the tool's behavior.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

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?

Given the complexity of a financial trading tool with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits, usage context, and expected outcomes, leaving the AI agent poorly equipped to handle this tool safely and effectively.

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 schema description coverage is 100%, with all parameters well-documented in the schema. The description adds no additional meaning beyond the schema, such as explaining interactions between parameters or usage examples. This meets the baseline for high schema coverage but doesn't enhance understanding.

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 clearly states the action ('place') and resource ('market order on an exchange'), making the purpose understandable. However, it doesn't differentiate from the sibling tool 'place-futures-market-order', which handles a specific market type, leaving some ambiguity about when to use each.

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?

No guidance is provided on when to use this tool versus alternatives like 'place-futures-market-order' or other order types. The description lacks context about prerequisites, such as authentication or exchange setup, which are critical for proper usage.

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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