Skip to main content
Glama
luongndcoder

fiinquant-mcp

by luongndcoder

fq_detect_pattern

Read-onlyIdempotent

Detects common chart patterns like doji, engulfing, and support/resistance to reveal potential market movements.

Instructions

Pattern detection (doji, engulfing, support/resistance, …).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo
patternYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive behavior. The description adds examples of patterns but no further behavioral details (e.g., what happens if pattern not found, whether multiple patterns are returned).

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?

Single short phrase with no fluff, but could include more useful information without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 2 parameters, an output schema, and siblings, the description is too sparse. It lacks details on return values, possible pattern list, or usage context, leaving the agent uninformed.

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

Parameters2/5

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

Schema coverage is 0% so description carries burden. It only hints at pattern values via examples; the 'params' parameter is completely unexplained. No formal documentation of parameter meaning or expected format.

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 clearly indicates the tool detects chart patterns, with examples (doji, engulfing). It distinguishes sufficiently from siblings like fq_get_technical_indicators, which focus on numeric indicators.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs. alternatives (e.g., fq_get_technical_indicators for indicators, fq_run_custom_analysis for custom logic). No context about prerequisites or limitations.

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/luongndcoder/fiinquant-python-mcp'

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