backtest_sma_crossover
Run SMA crossover strategy backtest.
`period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| fast | No | ||
| slow | No | ||
| period | No | 2y | |
| ticker | Yes |
Run SMA crossover strategy backtest.
`period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
| Name | Required | Description | Default |
|---|---|---|---|
| fast | No | ||
| slow | No | ||
| period | No | 2y | |
| ticker | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, and the description offers no behavioral details such as data source, output format, or side effects. It merely states 'run backtest' without disclosing what the agent should expect or any limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the core purpose. The period note is useful and directly relevant. No extraneous content; however, it is so brief that it sacrifices completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and 4 parameters but only one explained, the description is materially incomplete. It fails to describe fast/slow parameters or return value expectations, making it insufficient for a strategy backtest tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It explains only `period` (history window with examples and default), but omits fast, slow, and ticker. This leaves the core SMA parameters undefined, adding only partial value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Run SMA crossover strategy backtest.' This uses a specific verb (Run) and resource (SMA crossover strategy backtest), distinguishing it from sibling tools like backtest_macd_momentum 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.
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 alternatives. The description does not mention any context, prerequisites, or exclusions, leaving the agent to infer usage solely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.