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PropPassCheck

Get one challenge's rules

get_challenge
Read-only

Full rules for one account: profit targets, daily and maximum loss, drawdown type, minimum days, time limit, consistency rule, payout terms, trading restrictions on record (news, weekends, open losses, short trades), price, the firm's source page, the date checked, recent rule changes and any proof-checked payout reports for the firm. Takes a PropPassCheck account id.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_challenge"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesA PropPassCheck account id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive, closed-world), and the description adds real context beyond them: the record includes the firm's source page, the date the rules were checked, recent rule changes, and 'proof-checked payout reports', which tells the agent the data is verified and time-stamped. It does not mention behavior on a missing or stale id, so it falls short of full disclosure.

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?

Two sentences, no filler: the resource and scope lead, the content inventory follows as a compact list, and the parameter note closes. The middle enumeration is long but every item tells the agent something about coverage rather than padding.

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

Completeness4/5

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

There is no output schema, so the description takes on the job of describing returns, and it does so thoroughly — including unusual fields like rule-change history and proof-checked payouts that an agent could not guess. For a one-parameter read tool with annotations present, the main remaining gap is error/staleness behavior.

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% and the single parameter is fully described as 'A PropPassCheck account id.' The description only restates 'Takes a PropPassCheck account id' without adding format, provenance, or how to obtain the id. Baseline 3 applies since the schema carries the semantic load.

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 names a specific resource ('Full rules for one account') and enumerates exactly what that means — profit targets, loss limits, drawdown type, consistency rule, payout terms, restrictions, price, source page. The singular 'one account' scope separates it from list_challenges or compare_challenges without needing to name them. It stops short of an explicit 'this is the single-record fetch used after list_challenges', so 5 is not quite earned.

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

Usage Guidelines3/5

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

Usage is only implied: the reader infers this is the detail lookup for a single id, presumably after list_challenges or find_best_size. There is no explicit when-to-use statement, no exclusion of lookups better served by compare_challenges or price_history, and no note on what happens with an invalid id. Adequate but leaves routing to inference.

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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