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backtest_macd_momentum

Run MACD momentum strategy backtest for one ticker.

`period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNo2y
tickerYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

The description lacks any behavioral disclosure beyond the basic action. It does not state what the backtest returns, whether it is read-only, if it requires authentication, or any limitations. With no annotations available, the description carries the full burden and fails to inform the agent about outputs or side effects.

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 description is concise with two short sentences, front-loading the core purpose. The second sentence about period is somewhat redundant with the schema, but it does add a clarifying example. There is no fluff, though it could be better structured with separate parameter sections.

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?

Given no annotations, no output schema, and many sibling tools, the description is incomplete. It tells what the tool does but not what the agent should expect in return, how long it runs, or how it differs from similar backtest tools. This leaves the agent under-informed for selection and result interpretation.

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 the description must explain both parameters. It explains 'period' (history window with examples and default), but it omits 'ticker' entirely, which is required. The period information mostly duplicates the schema's enum and default, adding only the phrase 'history window' for context.

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?

The description opens with a specific verb ('Run') and resource ('MACD momentum strategy backtest') plus scope ('for one ticker'). This clearly distinguishes it from sibling backtest tools like backtest_sma_crossover or backtest_rsi_mean_reversion.

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 is provided on when to use this tool versus the many sibling backtest and analysis tools. There is no mention of alternatives, prerequisites, or scenarios where another tool would be more appropriate.

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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TDQS

C2.9/5.0
Disambiguation2/5

Several tools overlap significantly: plot_charts is an explicit alias for generate_charts, generate_chart_pack and generate_charts have similar purposes, and backtesting tools like backtest_macd_momentum vs backtest_macd_trend_follower or backtest_mean_reversion_rsi_bb vs backtest_rsi_mean_reversion are easily confused. The sector tools also have fuzzy boundaries.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern (analyze_*, backtest_*, get_*, generate_*). However, two tools use a 'tool' suffix (analyze_sector_intelligence_tool, find_sector_stock_pipeline_tool) which deviates from the otherwise consistent naming style.

Tool Count3/5

At 25 tools, the server is at the heavy end of the acceptable range. The scope is broad (analysis, backtesting, charting, portfolio optimization, alerts), but redundant chart tools and overlapping backtest strategies inflate the count and hurt focus.

Completeness4/5

The toolset covers the core domain well: technical analysis, backtesting, trade planning, portfolio optimization, quotes, news, and alerts. Minor gaps exist, such as no watchlist management tool (scanning only) and no direct historical data fetch, but these are workable around the existing tools.