backtest_volatility_breakout
Run volatility breakout strategy backtest.
`period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| length | No | ||
| period | No | 2y | |
| ticker | Yes |
Run volatility breakout strategy backtest.
`period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
| Name | Required | Description | Default |
|---|---|---|---|
| length | 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?
With no annotations provided, the description carries full burden for behavioral disclosure. It only says 'Run volatility breakout strategy backtest' and documents the period parameter, offering no details on output, side effects, permissions, or edge cases. It does not contradict annotations (none exist), but it reveals almost nothing about the tool's runtime behavior.
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, consisting of a clear purpose line followed by a parameter note. While it is economical, it lacks substantive content, making it efficient but not fully informative.
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?
Given no output schema, no annotations, and a non-trivial parameter like 'length' (likely a lookback period), the description is incomplete. It does not mention what the backtest returns or how parameters influence results, leaving significant gaps for an agent to select and invoke the tool correctly.
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?
The description only explains 'period' with examples and default, but omits semantic meaning for 'length' and 'ticker' beyond what the schema already provides (e.g., integer, string). With schema description coverage at 0%, the description fails to compensate for the undocumented parameters.
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 states 'Run volatility breakout strategy backtest', which is a specific verb ('Run') and resource (volatility breakout backtest). It clearly identifies the tool's function, though it does not explicitly differentiate it from sibling backtest tools beyond the strategy name.
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 the many sibling backtest tools (e.g., backtest_sma_crossover). The description does not mention alternatives or when-not-to-use, 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.