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PredictAsiaX MCP Server

pax.positions_list

List open positions across markets with size + entry price + current mark.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYes
market_idNo
subaccount_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. 'List' implies a read, and it usefully discloses the returned fields (size, entry price, current mark), but it says nothing about pagination, result limits, or whether it aggregates across subaccounts. Adequate but thin for an unannotated tool.

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?

A single front-loaded sentence with zero filler, and the most important detail (what fields come back) is stated up front. Its brevity is a virtue here, though the same economy is what leaves parameters undocumented.

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

Completeness2/5

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

With no output schema, no annotations, and 0% schema coverage, the description must carry return format, filtering behavior, and parameter meaning. It covers only the returned field names and omits pagination, scoping behavior, and all parameter guidance.

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

Parameters2/5

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

Schema description coverage is 0%, so the description should compensate, but it mentions none of the three parameters (user_id, market_id, subaccount_id). In particular the required user_id and the filtering semantics of market_id/subaccount_id are undocumented anywhere.

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 verb and resource ('List open positions') plus scope ('across markets') and even names the returned fields. An agent can distinguish this from orders_open or portfolio_read without opening the schema, though it never names those siblings explicitly.

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?

No guidance on when to choose this over orders_open, portfolio_read, or balance_get, and no mention of prerequisites such as which user_id must be supplied. The agent is left to infer usage from the name alone.

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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