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list_topics

START HERE. Returns a complete, runnable backtest script (open a store, strategy, config, fees, run, read the metrics) plus the stateful-band, bracket-exit, higher-timeframe and cross-asset variants -- then the list of rules the engine enforces and of what a fill actually does (which fee a stop pays, where a gapped bracket fills, what a reversal counts as). One call replaces the eight searches every first script otherwise needs.

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": "list_topics"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the substantive content (fee treatment for stops, gapped bracket fills, reversal accounting) that an agent cannot infer from the schema or an output schema alone. It does not state whether the call is side-effect free or idempotent, which is the main remaining gap for an unannotated tool.

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?

Effectively one dense sentence with the imperative 'START HERE' front-loaded and the highest-value claim (one call replaces eight searches) held to the end for emphasis. It is efficient, though the stacked jargon ('stateful-band, bracket-exit') is unexplained and makes the middle clause harder to parse than it needs to be.

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

Completeness3/5

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

An output schema exists, so return values need not be itemized, and with zero parameters the schema burden is minimal — the description fills its role on content. What it leaves unresolved is the framing: it never explains how 'list_topics' relates to the script-and-rules payload, which is the one thing an agent must resolve to route confidently alongside search_docs.

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?

The schema is empty (0 parameters), so there is nothing for the description to disambiguate; baseline is 4. The description correctly does not invent parameter talk.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is specific about what comes back — a runnable backtest script plus band, bracket-exit, higher-timeframe and cross-asset variants, engine rules, and fill semantics — but it never reconciles that with the name 'list_topics'. An agent reading the name expects a catalog of topic entries, so intent is clear-ish while identity is ambiguous.

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?

'START HERE' plus 'One call replaces the eight searches every first script otherwise needs' gives explicit first-use routing and the cost of not using it. It does not name a specific alternative among explain_error, get_capabilities or search_docs, nor state any exclusion, so it stops short of a full when/when-not split.

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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