Skip to main content
Glama

veroq_screener_presets

List pre-built screening strategies or run a specific preset to screen assets without manual filter construction. Returns matching assets with price, RSI, sentiment, and volume.

Instructions

List pre-built screening strategies or run a specific preset by ID.

WHEN TO USE: For quick screening without building filters manually. Omit preset_id to list all 12 presets; pass one to run it. RETURNS: List mode: preset names, descriptions, and filters. Run mode: matching assets with price, RSI, sentiment, volume. COST: 1 credit. EXAMPLE: { "preset_id": "oversold_tech" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
preset_idNoPreset ID to run. Omit to list all available presets.
Behavior4/5

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

No annotations present, so description carries full burden. It discloses the two output modes (list vs. run), cost (1 credit), and returned fields. Could mention idempotency or safety (read-only), but is otherwise transparent.

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?

Concise and well-structured with sections for purpose, when-to-use, returns, cost, and example. Every sentence adds value, front-loading the main action.

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?

For a simple tool with one optional parameter and no output schema, the description fully explains both modes, their outputs, cost, and provides an example. No gaps remain.

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 clear parameter description. The description adds value beyond schema by mentioning the exact number of presets (12), cost, and output structure for both modes, helping the agent understand the parameter's effect.

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 dual function of the tool: listing presets or running one by ID. It uses specific verb+resource (List/run pre-built screening strategies) and distinguishes from manual screening tools like veroq_screener.

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?

Provides explicit WHEN TO USE guidance, explains when to omit vs. include preset_id, and gives an example. This helps the agent decide between listing and running, and when to use this tool over other screening tools.

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/Veroq-ai/veroq-mcp'

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