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Vectorial Data Terminal

place_order

Place an order. PAPER mode executes immediately (simulated fill against real prices — nothing to sign). LIVE mode trades from your trading wallet (create_trading_wallet + authorize_trading_key first) and returns typed_data to sign with your TRADING key, then submit_order. Fees: 0.25% per perps trade, the same everyone pays, settled automatically. Brackets: pass tp/sl. Sizing: explicit size, or risk-first via risk_usd+stop_price (size = risk / |entry−stop|). Min notional $10.

Input Schema

NameRequiredDescriptionDefault
slNo
tpNo
sideYes
sizeNo
typeYes
marketYesSymbol, e.g. BTC
risk_usdNoRisk-first sizing: dollars at risk to the stop
stop_priceNoRequired with risk_usd; also becomes the SL
limit_priceNo
reduce_onlyNo
client_order_idNoIdempotency key

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are supplied, so the description carries the full burden and does substantial work: it discloses the auth prerequisite chain for LIVE, the fact that PAPER mode needs no signature, the fee rate and automatic settlement, and a hard minimum notional of $10. Gaps remain around failure behavior, whether the returned typed_data expires, and how reduce_only interacts with brackets.

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?

Front-loaded with the core action, then stacked parenthetical qualifiers for mode, fees, brackets, and sizing — every clause carries information, with no filler. The dense em-dash chaining makes it slightly harder to scan than a bulleted breakdown would be, but nothing is wasted.

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?

For an 11-parameter mutation tool with no annotations and no output schema, this covers the essentials: mode semantics, authentication prerequisites, fee and minimum-notional constraints, and both sizing paths. What is missing is the return shape for the PAPER path and any statement about rejection or partial-fill behavior.

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 only 36% across 11 parameters, and the description compensates well for sizing — it explains tp/sl as the bracket pair and gives the actual risk-first formula (size = risk / |entry − stop|). However limit_price, reduce_only, type, and side receive no explanation beyond their schemas, leaving several parameters undocumented in both places.

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?

States a specific verb and resource ('Place an order') and immediately disambiguates the two execution paths: PAPER simulates a fill against real prices, LIVE produces typed_data to sign and hand to submit_order. An agent can tell precisely what this tool does and how it relates to submit_order, authorize_trading_key, and create_trading_wallet without opening any schema.

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?

Explicitly states the prerequisite sequence for LIVE mode (create_trading_wallet + authorize_trading_key first) and the follow-up tool (submit_order), so the agent knows the ordering constraint and what to call next. It also gives two mutually exclusive sizing strategies with the condition that selects each (explicit size vs. risk_usd + stop_price).

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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