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Eurobertics

MCP Pionex Management

by Eurobertics

Get spot grid AI strategy

pionex_bot_get_spot_grid_ai_strategy
Read-onlyIdempotent

Fetch AI-recommended grid strategy parameters for a spot trading pair by specifying base and quote currencies. Automates grid bot setup for range-bound markets.

Instructions

Get spot grid AI strategy

Query AI-recommended grid strategy parameters for a trading pair. Weight: 1.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseYesBase currency (e.g. BTC)
quoteYesQuote currency (e.g. USDT)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds essentially no behavioral context of its own — it doesn't say whether the AI recommendation is deterministic, sourced from a model, or what constraints apply, beyond the word 'AI-recommended.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The body is one useful sentence, but it is front-loaded with a verbatim repeat of the title/tool name, and 'Weight: 1' is dangling jargon that isn't explained. Two of the four lines do little work.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, two-parameter tool with no output schema, the description is minimally adequate but leaves the agent guessing what the returned strategy parameters are and how this tool relates to the grid-order and param-check siblings. It is complete enough to invoke, not enough to choose confidently.

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 100% with both base and quote documented (BTC/USDT examples), so the schema already carries the parameter semantics. The description adds nothing about pair formatting or required-ness beyond what the schema states — the baseline 3 is appropriate.

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 gives a specific verb+resource: 'Query AI-recommended grid strategy parameters for a trading pair,' which is clearer than the title alone. It does not, however, distinguish itself from near-siblings like pionex_bot_get_spot_grid_order or pionex_bot_check_spot_grid_params, so an agent must infer which one returns AI recommendations.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as check_spot_grid_params or get_spot_grid_order. The trailing 'Weight: 1' is API rate-limit metadata, not usage guidance, and is unexplained.

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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