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zdte.ai SPX Market Structure

Replay a Trading Day

get_day
Read-onlyIdempotent

Use this when you need the full market-structure history of one past trading day: the intraday timeline (walls, gamma flip, net GEX, regime, spot) plus a day summary. If you only need when the regime changed that day, get_regime_segments is the compact version. One replay date (YYYY-MM-DD) per call. Data only -- not investment advice or a trade recommendation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesReplay date in YYYY-MM-DD; use list_history_dates for the set of valid dates.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, destructiveHint=false, so the safety profile is covered. The description adds the scoping constraint 'one replay date per call' and a data-only disclaimer, but says nothing about pagination, payload size, or what happens with a non-trading/invalid date. Modest added value over the structured fields.

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

Conciseness4/5

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

Three sentences, front-loaded with the trigger and the sibling comparison, which is the most decision-relevant content. The closing disclaimer sentence is useful for agent behavior but is boilerplate that slightly dilutes the tight core.

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?

There is no output schema, and the description compensates by enumerating the returned timeline components and day summary, so an agent knows what comes back. It omits any note on response size or handling of dates outside the valid set, which is a minor gap for a read-only replay tool.

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 description coverage is 100% and the single parameter already carries its pattern, format, and a pointer to list_history_dates. The description only restates the format ('YYYY-MM-DD') and the one-date-per-call constraint, adding no syntax or edge-case meaning beyond the schema.

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?

States a specific verb+resource+scope: 'full market-structure history of one past trading day,' and enumerates what the replay contains (walls, gamma flip, net GEX, regime, spot, day summary). It explicitly distinguishes itself from get_regime_segments as the compact alternative, so an agent can route without opening schemas.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('when you need the full market-structure history of one past trading day') and names the alternative with its selecting condition ('If you only need when the regime changed that day, get_regime_segments is the compact version'). Nothing is left to inference.

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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