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Account

get_account
Read-onlyIdempotent

One account at a glance: USDC balances, positions with entry, mark, unrealized PnL and liquidation price, and open orders. Ask: "Check my account 0x…"

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "address": "<address>"
    },
    "name": "get_account"
  }
}

Input Schema

NameRequiredDescriptionDefault
addressYes0x-prefixed 20-byte account address (0x followed by 40 hex characters)

Output Schema

NameRequiredDescriptionDefault
usdcNo
ordersNo
addressNo
networkYestestnet or mainnet
summaryYesone plain sentence
explorerNo
positionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so safety and repeatability are covered structurally. The description adds useful scope information by listing the aggregated data sets, but says nothing about freshness, pagination of open orders, or behavior for an address with no positions — modest value beyond annotations.

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?

Two compact sentences, front-loaded with the payoff ('One account at a glance') and then the concrete contents. The quoted user utterance earns its place as a usage example; nothing is padded.

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 a one-parameter read tool with an output schema, an idempotent/read-only annotation set, and full schema coverage, this is close to sufficient. The remaining gap is minor: it does not distinguish itself from the more granular siblings that return subsets of the same data.

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?

There is a single parameter at 100% schema coverage, with the pattern and 0x-prefixed 20-byte format fully documented in the schema. The description only echoes the address via the '0x…' example and adds no constraint or formatting meaning beyond it, so the baseline of 3 applies.

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?

States a specific resource (account) and enumerates exactly what it returns: USDC balances, positions with entry/mark/unrealized PnL/liquidation price, and open orders. 'One account at a glance' signals it is an aggregate snapshot rather than a single-field read, which informally separates it from siblings like get_balance or get_positions, though it never names them.

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 quoted example 'Check my account 0x…' gives a trigger phrase for when to reach for it, which implies the overview use case. There is no explicit when-not guidance and no named alternative for callers who only want balances or positions, so routing between this and get_balance/get_positions/get_orders is left to inference.

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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