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FILTRIX.net

search_filters

Read-onlyIdempotent

Find filter columns by keyword (e.g. "gap", "float", "rsi", "earnings"). Returns the raw column name to use in filters, Trade-Ideas code, display name, description, allowed operators and value_type, best match first. Use before run_backtest or screen_events whenever you are not sure of a column name. No API key needed, free.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "search_filters"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of columns to return, best match first.
queryNoKeyword to match in column names and descriptions, e.g. 'gap' or 'float'; omit to list all.
value_typeNoOnly columns of this type: number, string, date, time or enum.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, openWorld and non-destructive, so the safety profile is known. The description adds genuinely new behavioral context: the exact payload returned (raw column name, Trade-Ideas code, display name, description, allowed operators, value_type) and the 'best match first' ranking, plus 'No API key needed, free.'

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 compact sentences, front-loaded with purpose and followed by return shape and usage trigger. Every sentence carries information the agent needs; nothing is padding.

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?

With an output schema present and 100% parameter coverage, the definition covers purpose, return shape, prerequisites ('no API key') and placement in the workflow. The only missing piece is disambiguation from list_filters and search_scanner_columns.

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 schema already documents query, limit and value_type thoroughly. The description adds only keyword examples ('gap', 'float', 'rsi', 'earnings') and reinforces best-match ordering, which is marginal value over the structured fields.

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 opens with a specific verb+resource ('Find filter columns by keyword') and gives concrete keyword examples, so the agent knows exactly what the tool does. It does not, however, distinguish itself from the sibling list_filters or search_scanner_columns, which an agent could reasonably confuse with this one.

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

Usage Guidelines4/5

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

Explicit placement guidance is given: 'Use before run_backtest or screen_events whenever you are not sure of a column name,' which tells the agent both the trigger condition and the downstream tools it feeds. There is no negative guidance (e.g. when to use list_filters instead), so it falls short of a 5.

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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