get_trade_days
Get the trading calendar (trading days and half-days) for a date range.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| market | Yes | ||
| beg_day | Yes | ||
| end_day | Yes |
Get the trading calendar (trading days and half-days) for a date range.
| Name | Required | Description | Default |
|---|---|---|---|
| market | Yes | ||
| beg_day | Yes | ||
| end_day | 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?
No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only states it 'gets' data, but does not specify return format, whether it includes holidays, needed permissions, or if results are cached. The description is too minimal.
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 concise sentence with no unnecessary words. It front-loads the core action. However, it sacrifices necessary detail for brevity.
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 lack of annotations, output schema, and parameter descriptions, the description is incomplete. It does not specify date format, supported market codes, or what constitutes a half-day. Users would need external knowledge to use this 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?
Schema description coverage is 0%, and the description does not explain any of the three parameters (market, beg_day, end_day). No date format, market identifier conventions, or constraints are provided. The description adds no meaning beyond the parameter names.
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 retrieves the trading calendar (trading days and half-days) for a date range. It distinguishes this from sibling tools like get_kline or get_intraday which focus on price or volume data.
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?
The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no explicit when-not-to-use context. The usage is only implied by the general purpose.
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.
Each tool targets a distinct data type or operation (e.g., symbol discovery, capital flow, intraday, kline, order book, trades). No two tools have overlapping purposes, and descriptions clearly differentiate them.
All tools follow a consistent 'get_' prefix followed by a descriptive noun (e.g., get_available_symbols, get_intraday, get_kline). No mixing of conventions or vague verb usage.
13 tools is well-scoped for a market data server. Each tool serves a specific need without unnecessary redundancy, covering discovery, real-time, historical, and reference data.
The tool set covers core market data needs: discovery, real-time quotes, historical kline, depth, trades, capital flow, metrics, trading calendar, and sessions. Minor gaps exist (e.g., corporate actions, historical trade list), but the primary workflows are supported.