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Tronsave MCP Testnet

Order Book

tronsave_list_order_books
Read-onlyIdempotent

Read market depth buckets for ENERGY or BANDWIDTH. Returns price buckets { min, max, value } optionally scoped by viewer address, minimum delegate amount, and duration. No login required; read-only and idempotent. FRESHNESS: live market depth — buckets can shift roughly every 3 seconds; re-read immediately before acting on a price. Use this to estimate market ranges before create/update decisions; pair with tronsave_estimate_buy_resource for quote-style buy estimation and tronsave_get_order for one concrete order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressNoOptional viewer/requester wallet context.
durationSecNoOptional delegation duration filter in seconds.
resourceTypeYesOrder-book side to query (`ENERGY` or `BANDWIDTH`).
minDelegateAmountNoOptional minimum delegate amount floor for bucket filtering.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderBookYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / properties / address / description
      Previous value: -"Optional viewer/requester address."New value: +"Optional viewer/requester wallet context."
    • addedInput schema / properties / durationSec / description
      Added value: +"Optional delegation duration filter in seconds."
    • addedInput schema / properties / minDelegateAmount / description
      Added value: +"Optional minimum delegate amount floor for bucket filtering."
    • addedInput schema / properties / resourceType / description
      Added value: +"Order-book side to query (`ENERGY` or `BANDWIDTH`)."
  2. Added

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds that no login is required and the data freshness interval (~3 seconds), providing useful context beyond annotations without contradicting them.

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 concise with no wasted words. It front-loads the core function, then adds optional scoping, safety notes, freshness detail, and usage guidance in a logical order.

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 read-only market depth tool with 4 parameters, output schema present, and annotations covering safety, the description fully explains behavior, freshness, prerequisites (none), and sibling relationships. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all parameters. The description adds value by explaining the response shape (price buckets { min, max, value }), which is not in the input schema, and reiterates optional filtering roles.

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 clearly states the tool reads market depth buckets for ENERGY or BANDWIDTH, specifies the return format (price buckets with min, max, value), and distinguishes itself from siblings like tronsave_estimate_buy_resource and tronsave_get_order.

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 says when to use it (estimate market ranges before create/update decisions), when not to use alternatives, and pairs with specific tools. Also includes a freshness note advising re-read before acting on a 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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