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PropPassCheck

Recent prop firm rule changes

rule_changes
Read-only

Changes PropPassCheck has recorded to prop firms' rules, newest first: targets, loss limits, drawdown type, consistency rules, payouts, splits and prices, with the old and new value and whether the change is better or worse for traders. Filter by firm.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

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

Input Schema

NameRequiredDescriptionDefault
firmNoPart of a firm name. Leave out for all firms.
limitNoHow many to return, default 20.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds real behavioral context beyond that: results are ordered newest first, each entry carries both the old and new value, and each change is labeled better or worse for traders — a non-obvious derived field an agent would otherwise not expect.

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 dense sentence that front-loads the resource and ordering before enumerating coverage and the returned fields. The long category list is load-bearing rather than filler, though a comma-separated enumeration of eight rule types is slightly heavy to parse.

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?

With no output schema, the description carries the return-value burden and does so: it names the covered rule categories, the ordering, the old/new pairing, and the better-or-worse judgment. Combined with a fully documented two-parameter schema and read-only annotations, nothing essential is missing.

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 both parameters are already documented, including the partial-match semantics of 'firm' and the default of 20 for 'limit'. The description's 'Filter by firm' merely restates the schema and says nothing about the limit, pagination, or how to widen a narrow firm filter.

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?

States a specific resource (recorded prop-firm rule changes) with an explicit scope enumeration: targets, loss limits, drawdown type, consistency rules, payouts, splits and prices. The 'newest first' ordering and the old/new value plus better-or-worse verdict make it clearly distinguishable from adjacent tools such as price_history or compare_challenges.

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: an agent can infer this is the changelog feed to consult when it needs to know how a firm's rules shifted. There is no explicit when-to-use statement, no when-not condition, and no named alternative — notably price_history, which overlaps on the 'prices' dimension, is not disambiguated.

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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