Skip to main content
Glama

Tronsave MCP Testnet

Get Minimum Unit Price

tronsave_get_min_price
Read-onlyIdempotent

Quote the minimum unit price for a buy. Returns { minPrice } (SUN per resource unit) from GraphQL market.estimateMinPrice for the given resourceType, buyAmount, and durationSec. Optional address scopes context when the API supports it. No login required; an optional session forwards auth like tronsave_list_order_books. Read-only and idempotent. FRESHNESS: live market data — minPrice can change roughly every 3 seconds; re-fetch right before placing an order and do not reuse a stale value. Pair with tronsave_estimate_buy_resource for full buy quotes and tronsave_list_order_books for depth buckets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressNoOptional TRON base58 address (`TronAddress`). When omitted, the server uses anonymous/global market context.
buyAmountNoResource amount to price (same units as order book / delegate amounts for that resource type). Default 100000 for ENERGY and 1000 for BANDWIDTH
durationSecNoDelegation window in seconds; must match the duration you plan to use on a real order for comparable quotes. Default 15 minutes
resourceTypeNoMarket leg: `ENERGY` or `BANDWIDTH`. Default ENERGYENERGY

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
minPriceYesEstimated minimum unit price in SUN for the given `resourceType`, `buyAmount`, and `durationSec`; align with `tronsave_estimate_buy_resource` and order `unitPrice` conventions (same as GraphQL `market.estimateMinPrice`).

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds valuable context: no login required, optional session auth, that data changes roughly every 3 seconds, and the return structure (`{ minPrice }`). This goes beyond the annotations and provides actionable behavioral insight.

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?

The description is a single paragraph but packs essential information efficiently: purpose, return value, parameters, authentication, freshness, and companion tools. It is front-loaded with the core action. Slightly more structure (e.g., bullet points) could improve scannability, but it is concise and clear.

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?

Given the tool has 4 parameters, an output schema, and many siblings, the description covers all necessary aspects: purpose, return format, parameters, authentication requirements, data freshness warning, and related tools. No gaps are evident for an agent to select and invoke the tool correctly.

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 baseline is 3. The description mentions the parameters (`resourceType`, `buyAmount`, `durationSec`, `address`) but does not add meaning beyond what is already in the schema. No additional elaboration on parameter values or usage is provided.

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's purpose: 'Quote the minimum unit price for a buy.' It specifies the action (quote/estimate) and resource (minimum unit price). It also distinguishes from siblings by recommending pairing with `tronsave_estimate_buy_resource` for full buy quotes and `tronsave_list_order_books` for depth buckets.

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

Usage Guidelines4/5

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

The description provides clear usage context: 'No login required' indicates when authentication is unnecessary, and it emphasizes data freshness ('re-fetch right before placing an order and do not reuse a stale value'). It suggests companion tools but does not explicitly state when not to use this tool, though the guidance is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation2/5

Several tools have overlapping purposes, such as multiple order creation tools (tronsave_create_order, tronsave_internal_order_create, tronsave_internal_create_extend_request) and multiple estimation tools (tronsave_estimate_buy_resource, tronsave_get_min_price, tronsave_internal_order_estimate). This would confuse an agent trying to select the correct tool.

Naming Consistency3/5

Tools follow a tronsave_verb_noun pattern with snake_case, but verbs are inconsistent (e.g., list vs get, create vs register) and the internal_ prefix creates two distinct naming styles. Some tools like tronsave_internal_order_book and tronsave_list_order_books are confusingly similar.

Tool Count2/5

29 tools is excessive for a server focused on a single market. Many tools duplicate functionality for internal vs signature authentication, bloating the surface. A more streamlined set (e.g., 10-15) would be more appropriate.

Completeness3/5

The tool set covers core operations like CRUD for orders, account info, and auto-settings. However, there are gaps: no explicit delete for auto-sell settings, and manual sell is the only sell option. Some internal tools appear redundant, but overall coverage is adequate.

Resources