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zdte.ai SPX Market Structure

Regime Segment Tape

get_regime_segments
Read-onlyIdempotent

Use this when you only need how the dealer regime changed during one past trading day: a compressed list of regime segments with their start and end times. For the full intraday structure (walls, gamma flip, net GEX, spot) use get_day instead. One replay date (YYYY-MM-DD) per call.

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

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. The description adds behavioral value beyond that by characterizing the payload as a compressed segment tape with start/end times and by constraining input to a single replay date per call, which matters because no output schema exists to convey return shape.

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, no filler; the scoping condition is front-loaded and the costly alternative (get_day) is deferred to second position. Every clause earns its place.

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?

With no output schema, the description carries the return-value burden and does describe the output as compressed regime segments with start/end times, which is enough to set expectations. It stops short of saying whether segments are non-overlapping, ordered, or how many typically return, but nothing critical for correct invocation is missing.

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 format guidance plus a pointer to list_history_dates. The description's 'One replay date (YYYY-MM-DD) per call' largely restates the schema pattern, so baseline 3 applies.

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 names a specific resource (dealer regime segments) and the shape of the result (compressed list of segments with start and end times), and explicitly separates it from the sibling get_day. An agent can distinguish it from get_regime, get_day, and get_market_structure without opening any schema.

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?

It states the selecting condition ('when you only need how the dealer regime changed during one past trading day') and names the alternative with its own trigger ('For the full intraday structure ... use get_day instead'). This is explicit when/when-not/alternative routing.

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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