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Backtest360

backtest360-mcp

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by Backtest360

get_catalog

Fetch engine reference catalog containing operators, execution modes, stop types, sizing methods, bar frequencies, or metric sections. Use this data to build valid strategies and configurations.

Instructions

Fetch one engine reference catalog.

Catalogs (cheap, cacheable per session):

  • 'operators' — comparison operators for condition expressions

  • 'execution-modes' — entry/exit anchors and fill algorithms, with the validity matrix by market type

  • 'stop-types' — stop-loss types, re-entry modes, and their parameters

  • 'sizing-methods' — position-sizing methods and their parameters

  • 'bar-frequencies' — supported bar frequencies and the signal x execution validity matrix (which combinations are allowed)

  • 'sections' — the full metric catalog: every statistic's stable id, display label, section, and description

Fetch the relevant catalog BEFORE building a strategy or config; build only from values it lists — never guess parameter names or frequencies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catalogYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Notes catalogs are 'cheap, cacheable per session', implying a read-only, non-destructive operation. No annotations provided, but description adequately covers behavior. Lacks explicit statement of being read-only, but strong implication.

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?

Well-structured with a clear list, but somewhat verbose with bullet points; still front-loaded and each sentence adds value.

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?

Complete for a catalog retrieval tool: explains purpose, when to use, what each catalog contains, and references output schema. No missing context.

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

Parameters5/5

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

Although schema coverage is 0%, the description adds detailed semantics for the 'catalog' enum values, explaining exactly what each catalog contains, far beyond the schema's minimal representation.

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?

Clearly states it fetches one engine reference catalog, enumerates each possible catalog and its content, distinguishing it from sibling tools like run_backtest or search_tickers.

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?

Explicitly advises to fetch before building a strategy, never guess parameter names or frequencies, providing clear when-to-use guidance.

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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