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MCPify

place_order

Destructive

Use this when the user explicitly asks to open a perp position or place an order on Hyperliquid via MCPify. Real funds — ALWAYS call preview_order with the same arguments first, show the user the proposal, and get their explicit confirmation; place_order is refused unless a matching preview ran within the last 10 minutes. Requires Agent Trading enabled on the MCPify settings page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideYesPosition direction
symbolYesHyperliquid perp coin symbol, e.g. BTC, ETH, SOL (not BTCUSDT)
leverageNoLeverage multiplier
stop_lossNoStop-loss trigger price
margin_usdYesUSDC margin to commit. Position notional = margin × leverage
order_typeNoExecution typemarket
limit_priceNoRequired when order_type is limit
margin_modeNoMargin modecross
take_profitNoTake-profit trigger price

TDQS

A4.7/5.0
Behavior5/5

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

The description goes well beyond the annotations by warning that this involves 'Real funds,' requiring explicit user confirmation, and explaining that place_order refuses execution unless a matching preview ran within 10 minutes. It also discloses the prerequisite that Agent Trading must be enabled, adding context not present in the schema or annotations. No contradiction with readOnlyHint=false or destructiveHint=true.

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 three sentences with no filler. The first sentence states the purpose, the second front-loads the critical safety workflow (preview before order, confirmation, refusal rule), and the third states the prerequisite. Every sentence earns its place and the structure is easy to scan.

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

Completeness5/5

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

For a high-stakes, destructive order placement tool with nine parameters and no output schema, the description covers the essential context: when to use it, the mandatory preview flow, user confirmation, the 10-minute expiry, and required settings. It also names the sibling preview_order to route the agent correctly. No critical gap is apparent.

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 100%, so the schema already documents all nine parameters thoroughly. The description does not add parameter-level meaning, but the mention of 'with the same arguments' ties the parameters to the preview step, offering a small degree of additional context. This meets the baseline for a fully self-documenting 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: 'open a perp position or place an order on Hyperliquid via MCPify.' It clearly distinguishes this tool from siblings like cancel_order, close_position, and preview_order by defining the exact user intent that triggers it.

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

Usage Guidelines5/5

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

The description explicitly states when to use the tool — when the user asks to open a perp position or place an order — and provides an explicit alternative: 'ALWAYS call preview_order with the same arguments first.' It also gives a hard precondition (matching preview within 10 minutes) and a configuration requirement (Agent Trading enabled), leaving no ambiguity about sequencing.

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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TDQS

A4.2/5.0
Disambiguation4/5

Each tool targets a distinct resource or action, but get_markets and get_price overlap in the data they return (price, 24h change, volume, funding), differing mainly by all-markets vs single-coin scope. The descriptions are explicit enough that an agent should rarely misselect, though the boundary is slightly blurry.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: get_ for reads, plus clear action verbs like place_, preview_, cancel_, close_, and set_. There is no mixing of styles or vague generic verbs.

Tool Count5/5

13 tools is well within the ideal range for a trading-focused server. Each tool covers a distinct part of the workflow without feeling bloated or redundant.

Completeness5/5

The tool surface covers the full trading lifecycle: market data, account/position/order/trade reads, order preview and placement, cancellation, position closing, and TP/SL management. No obvious dead-ends or missing core operations for the stated Hyperliquid perp trading purpose.

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