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AlgoChains

AlgoChains MCP Server

Official
by AlgoChains

list_prop_funds

Read-onlyIdempotent

List prop firms with 2026-verified rules including fees, profit targets, drawdown limits, and automation policy.

Instructions

List supported prop firms with 2026-verified rules (Apex, Topstep, MyFundedFutures, TradeDay, Bulenox, Earn2Trade, FTMO, Tradeify). Returns fees, profit targets, drawdown type/limits, consistency rules, automation policy, and rules_verified_date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNoOptional platform filter (tradovate, rithmic, ninjatrader, metatrader)
Behavior4/5

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

Annotations indicate read-only, open-world, idempotent, and non-destructive traits. The description adds behavioral context by specifying the returned data fields (fees, profit targets, drawdown limits, etc.), going beyond annotations.

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 two sentences, front-loaded with the core purpose, and contains no unnecessary words. Every sentence adds value.

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's simplicity (0 required params, no output schema), the description completely covers what the tool does and what it returns, including specific fields and example firms.

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%, so the schema already describes the single optional parameter. The description adds value by listing firms and return fields but does not provide additional parameter-level semantics beyond what the schema offers.

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 lists supported prop firms with verified rules, naming specific firms and return fields. It distinguishes itself from sibling tools by being the only tool focused on prop firm listings.

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 context for usage: to retrieve prop firm rules and details. It mentions an optional platform filter, but does not explicitly state when not to use it or alternatives, though no direct alternative exists among siblings.

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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