Skip to main content
Glama
longbridge

longbridge

Official

Screener Indicators

screener_indicators
Read-onlyIdempotent

Get available screener indicator keys with units and default value ranges. Optionally narrow to stock-specific indicators by providing a symbol.

Instructions

Get all available screener indicator keys with units and default value ranges. Technical indicators include a tech_values field showing available options (e.g. macd_day: {category:[goldenfork,deadcross], period:[day,week]}). Optional symbol (e.g. AAPL.US) narrows to stock-specific indicators. Returns groups[]{group_name, indicators[]{id, key, name, unit, default_range{min,max}, tech_values?{key:[{value,label},...]}}}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoOptional security symbol to filter indicators for a specific stock, e.g. "AAPL.US"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupsNoIndicator metadata grouped by category.
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, openWorldHint. The description adds behavioral details: returns grouped indicators, optional symbol filtering, and nested structure with tech_values. No contradictions.

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?

Two sentences, front-loaded with core purpose, followed by key detail on tech_values and return structure. No wasted words, efficiently conveys all necessary information.

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?

The description includes a full return structure example, compensating for the lack of an explicit output schema. With a single optional parameter and high schema coverage, the description is fully adequate for an AI agent to use the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a description for the symbol parameter. The description adds meaning by explaining that the optional symbol narrows to stock-specific indicators, enhancing the schema's basic description.

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 retrieves all screener indicator keys with units and default value ranges, and mentions technical indicators include a tech_values field. This distinguishes it from sibling tools like screener_search or screener_strategy.

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 implies usage for obtaining indicator definitions before using screener tools, but does not explicitly state when to use or not use this tool compared to siblings. No guidance on prerequisites or alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/longbridge/longbridge-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server