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hamzafaiz17

TradeZylo MCP Server

by hamzafaiz17

add_strategy

Add a new trading strategy or setup to your TradeZylo Playbook with rules, timeframes, and markets, then return the created strategy and updated catalog.

Instructions

[WRITE ACTION] Add a new trading setup or strategy to your TradeZylo Playbook with rules, description, timeframes, and markets. Returns full created strategy and updated playbook catalog.

Example questions:

  • "Add a new playbook strategy: 'ICT Silver Bullet', 15m timeframe on Forex, rules: enter on FVG between 10am-11am NY time"

  • "Save a strategy to my playbook named 'London Breakout Retest'"

  • "Add strategy 'Opening Range Breakout' for Stocks on 5m"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rNoHistorical baseline average R-multiple (default 0)
descYesSummary description of the setup and core logic
nameYesStrategy or setup name e.g. "ICT Silver Bullet", "London Breakout Retest"
winsNoHistorical baseline wins if known (default 0)
rulesNoExact written entry criteria, stop-loss rules, management rules, and exit targets
totalNoHistorical baseline total trades if known (default 0)
marketNoPrimary market e.g. "FOREX" or "All Markets"
marketsNoTarget markets e.g. ["FOREX", "CRYPTO"]
timeframeNoPrimary timeframe e.g. "15m"
timeframesNoValid timeframes e.g. ["5m", "15m", "1h"]

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full disclosure burden. It usefully flags '[WRITE ACTION]' and states it 'Returns full created strategy and updated playbook catalog,' which is real value since there is no output schema. But it says nothing about duplicate-name handling, required permissions, validation failures, or whether existing playbook entries are modified.

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?

The purpose and write-action marker are front-loaded in the first sentence, and the example block is compact and invocation-focused. Slightly long for what it conveys, but no sentence is pure filler.

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?

For a 10-parameter mutation tool with no output schema, the description covers the effect and the return payload, which is what an agent most needs to decide and confirm a call. Remaining gaps (permissions, idempotency) are minor relative to the schema's thorough parameter docs.

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 all ten parameters (including r, wins, total baselines) are already documented in the schema. The description adds only a loose enumeration of field categories (rules, description, timeframes, markets) and no format or semantic detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('Add a new trading setup or strategy to your TradeZylo Playbook') and enumerates the fields carried (rules, description, timeframes, markets). This clearly separates it from read-only siblings like get_playbook and get_strategy_stats without needing the schema.

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?

The three example prompts give concrete invocation contexts (naming a strategy, attaching rules, specifying timeframe/market), which makes the intended use clear. However, it never explicitly excludes alternatives or says when not to use it (e.g. versus logging a trade with a strategy), so it stops short of full routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.