generate_chart_pack
Generate the full institutional chart suite for dashboard rendering.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| amount | No | ||
| market | No | us | |
| tickers | Yes | ||
| timeframe | No | 2y | |
| company_ticker | No |
Generate the full institutional chart suite for dashboard rendering.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | No | ||
| market | No | us | |
| tickers | Yes | ||
| timeframe | No | 2y | |
| company_ticker | No |
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, the description carries the full burden. It hints that the output is a suite of charts intended for dashboards, but it does not disclose return structure, whether the operation has side effects, required permissions, or any limitations. This is minimal beyond what the tool name implies.
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 a single sentence with no wasted words, but it is under-specified for a tool with five parameters. While concise in length, it lacks the necessary detail to be considered well-structured for its purpose.
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 the tool's complexity (5 parameters, no annotations, no output schema), the description is severely incomplete. It does not explain what the chart suite contains, what the parameters do, how return values are presented, or how it relates to sibling tools.
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% and the description mentions none of the five parameters (tickers, amount, market, timeframe, company_ticker). It does not compensate for the lack of schema descriptions, leaving parameter meanings completely unexplained.
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 uses a specific verb ('Generate') and identifies the resource ('full institutional chart suite for dashboard rendering'), making the core action clear. However, it does not differentiate from sibling tools like generate_charts or plot_charts, which likely serve similar purposes.
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 phrase 'for dashboard rendering' suggests a context, but there is no explicit mention of when to prefer this over generate_charts or other chart-related tools, nor any exclusions or prerequisites.
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.