Skip to main content
Glama

luxalgo-mcp-server

List Library indicators

library_list_indicators
Read-only

Browse the indicator catalog with filters and server-side sorting (newest first by default). Filter by family, concept slug (implementations of one concept), tags (ids from library_list_tags, AND-combined), trading platform, or plan tier. Use for structured browsing — 'latest indicators', 'everything in the volatility family', 'indicators implementing liquidity sweeps'; for keyword discovery prefer library_search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoDefault 0
sortNoDefault: date
tagsNoTag ids (from library_list_tags); an indicator must carry every tag
textNoServer-side text filter
tierNoOnly indicators included in this LuxAlgo plan tier
familyNo
conceptNoConcept slug — only indicators linked to this concept, e.g. 'rsi'
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."
platformNoTrading platform the indicator supports, e.g. 'metatrader'
directionNo
page_sizeNoDefault 24

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 / page / 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. Changed4 schema fields changed
    • addedInput schema / properties / concept
      Added value: +{
      +  "description": "Concept slug — only indicators linked to this concept, e.g. 'rsi'",
      +  "type": "string"
      +}
    • addedInput schema / properties / platform
      Added value: +{
      +  "description": "Trading platform the indicator supports, e.g. 'metatrader'",
      +  "type": "string"
      +}
    • addedInput schema / properties / tags
      Added value: +{
      +  "description": "Tag ids (from library_list_tags); an indicator must carry every tag",
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • addedInput schema / properties / tier
      Added value: +{
      +  "description": "Only indicators included in this LuxAlgo plan tier",
      +  "enum": [
      +    "essential",
      +    "premium",
      +    "ultimate",
      +    "ultra"
      +  ],
      +  "type": "string"
      +}
  4. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and openWorldHint, and the description adds useful behavioral context: server-side sorting, newest-first default, AND-combined tag filtering, and the set of supported filter dimensions. It does not mention pagination behavior, but the schema already documents page and page_size defaults.

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 well-structured sentences: the first states the core behavior, the second enumerates filter dimensions, and the third gives usage examples and the sibling alternative. No wasted words; all content is decision-relevant.

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?

For a complex 11-parameter browsing tool, the description effectively covers the primary filtering dimensions, ordering behavior, and the main alternative. It omits a few available parameters like text, direction, and pagination, but those are well-documented in the schema and the description provides enough context for correct invocation.

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 high (82%), so the schema carries most parameter meaning. The description echoes family, concept, tags, platform, and tier filters, and adds the 'AND-combined' tag semantics, though those are largely already present in the schema. It adds modest semantic value but not significant new parameter detail.

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 uses a specific verb ('Browse') with a clear resource ('indicator catalog') and immediately distinguishes this tool from the sibling library_search. It conveys a listing/filtering purpose that is distinct from search, concepts, families, and tags tools.

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

Usage Guidelines5/5

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

It explicitly states when to use the tool ('structured browsing') with concrete examples like 'latest indicators' and 'everything in the volatility family', and names the alternative ('library_search') for keyword discovery. This gives an agent clear routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.