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luxalgo-mcp-server

Search prop-firm offers

propfirms_search_offers
Read-only

Search promotional offers (discounts and promo codes) across prop firms — defaults to live (active, unexpired) offers only. propfirmId narrows to one firm; challengeId resolves the offers that apply to a challenge (firm-wide offers included). Every offer carries the promo code, discount, end date, and affiliate link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort key (default: featured first, then discount)
textNoCase-insensitive search over promo code, descriptions, and firm name/slug
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
offerIdNoPublic offer ids
isActiveNoDefaults to live offers only; pass false to look at inactive offers
directionNoSort direction; each sort key has a sensible default
offerTextNoCase-insensitive search over promo code and offer descriptions
pageIndexNo0-based page index (default 0)
promoCodeNoCase-insensitive substring of the promo code
isFeaturedNoOnly featured offers when true
propfirmIdNoPublic firm slugs, e.g. ['ftmo']
challengeIdNoPublic challenge ids; an offer matches when it applies to at least one (all-challenges offers match that firm's challenges)
discountMaxNoMaximum discount value
discountMinNoMinimum discount value
pageQuantityNoPage size (default 50, max 100)
includeExpiredNoWhen true, ended offers are not hidden (default false)
includeInactiveNoWhen true, inactive offers are not hidden (default false)
discountIsPercentNotrue for percent discounts, false for absolute amounts

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedInput schema / properties / context / description
      Previous value: -"Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\""New value: +"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""
    • addedInput schema / properties / pageIndex / maximum
      Added value: +9007199254740991
  2. Changed3 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "context"
      +]
  3. Added

TDQS

A3.8/5.0
Behavior4/5

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

With readOnlyHint=true and openWorldHint=true, annotations already cover the safety profile. The description adds meaningful behavioral context: default filtering to live offers, the effect of challengeId (firm-wide offers included), and the result fields each offer carries. No contradictions with 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?

Three sentences, each earning its place: what the tool searches, the default filter, key narrowing parameters, and the guaranteed output fields. Front-loaded with the core purpose, no filler.

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?

Given 18 parameters and no output schema, the description covers the essential default behavior and output shape, while the fully described schema covers all parameters. It could mention pagination or filtering flags, but those are documented in the schema, so the description is sufficient for an agent.

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 the baseline is 3. The description restates propfirmId and challengeId semantics already present in the schema and does not add deeper meaning for other parameters. It earns the baseline but nothing more.

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 uses a specific verb ('Search') and resource ('promotional offers across prop firms'), clearly identifying what the tool does. It does not explicitly name sibling tools or distinguish itself from propfirms_search or propfirms_search_challenges, though the resource type is unambiguous.

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?

The description gives useful context about default behavior ('defaults to live offers only') and explains when to use the propfirmId and challengeId filters. It does not explicitly state when to use this tool over alternatives or provide exclusions, so usage guidance is implied rather than direct.

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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