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Get Trading Schedule

get_trading_schedule
Read-onlyIdempotent

Retrieve current day's trading schedule for any instrument, showing session types and periods when trading is active in MSK time.

Instructions

Trading sessions of an instrument for the current day: session types with start/end times in MSK (+03:00), sorted. Intervals with tradingSessionStatus=OPEN are the periods when trading is on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesTicker, e.g. SBER
classCodeNoBoard class code (resolved via find_instrument when omitted)
outputPathNoWrite the full result to this file (path relative to the output root: BCS_OUTPUT_DIR or server cwd) instead of returning it inline. The response becomes a short summary {savedTo, records, bytes, sample}. Use for bulk data to keep the context clean. For get_candles this also enables full-history fetching (chunking beyond the 1000-bar API limit).
outputFormatNoFile format; default json (or csv if outputPath ends with .csv). csv writes the main flat array of the response.
Behavior4/5

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

Annotations already declare the tool as read-only and idempotent. The description adds behavioral context: times are in MSK (+03:00), results are sorted, and intervals with tradingSessionStatus=OPEN indicate active trading. This supplements annotations well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. First sentence summarizes purpose and key details (timezone, sorting). Second sentence explains the critical status field. Efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately covers what is returned (session types, times, sorted, status meaning). Minor gap: lack of explicit return structure, but sufficient for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (all 4 parameters described). The description adds no extra meaning beyond the schema, so baseline 3 is appropriate.

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 clearly states the tool provides trading sessions for an instrument for the current day, including session types, start/end times in MSK, and sorted order. This specific verb+resource distinguishes it from siblings like get_trading_status (current status) and get_candles (price data).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for retrieving daily trading schedules but does not explicitly state when to use this tool vs alternatives, nor provide exclusion criteria. The context is clear but lacks explicit guidance.

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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