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nakazanie-ton

xRocket Exchange MCP

xRocket order book

xrocket_market_orderbook
Read-onlyIdempotent

Get a public order-book snapshot for any xRocket spot pair. Specify symbol, depth, and precision to view current bid and ask levels.

Instructions

Get a public order-book snapshot. Precision must be valid for the selected pair.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNo
symbolYesExact current xRocket symbol, for example GRAM-USDT
precisionNoExact positive decimal string; never use a JSON number

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description does not need to cover those. It adds meaningful behavioral context by saying the snapshot is 'public' and caveating that precision must be valid for the selected pair, which is useful for setting call expectations.

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?

Two short sentences, front-loaded with the main purpose and followed by a critical constraint. No filler or repetition.

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?

The output schema exists, so return values need not be described. The description plus schema are sufficient to call the tool, though a note on default depth behavior would make it slightly more complete.

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 coverage is 67%; symbol and precision have descriptions. The description adds extra meaning for precision by noting it must be valid for the pair, but depth remains insufficiently described and the schema already constrains precision's format. Overall, the description adds some value without fully compensating for the depth semantics.

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 states a clear action and resource: 'Get a public order-book snapshot.' The order-book context is specific enough to distinguish it from most sibling market data tools, although it does not explicitly name alternative tools.

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 implies when to use the tool: whenever a public order-book snapshot is needed. However, it does not explicitly state how this differs from xrocket_market_snapshot or other alternatives, nor does it provide when-not-to-use guidance.

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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