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AlgoChains

AlgoChains MCP Server

Official
by AlgoChains

get_quant_regime_state

Read-onlyIdempotent

Aggregate real-time quant regime telemetry including GARCH, OFI, Kalman shadow slope, HMM regime status, and 7-day agreement summary from live bot metrics and snapshot data.

Instructions

Aggregate shadow-only quant regime telemetry from bot_metrics_live and state/quant_shadow_snapshot.json: GARCH status, OFI intensity, Kalman shadow slope, HMM regime status, and 7-day agreement summary when available. Does not compute models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bot_idNoOptional bot id: mnq, cl, mes, nq
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. Description adds behavioral context by listing data sources and affirming no model computation, which is consistent and adds value beyond annotations.

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 concise sentences, front-loaded with purpose. No unnecessary words. Every sentence adds value.

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?

No output schema exists, so description compensates by listing the data components (GARCH, OFI, Kalman, HMM, agreement summary) and mentioning 'when available'. This provides sufficient context for an agent to understand expected return structure.

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% for the single optional parameter bot_id. Description does not add any additional meaning beyond what the schema provides, meeting baseline but not exceeding.

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?

Clear verb 'aggregate' and specific resource 'quant regime telemetry' from named sources. Explicitly states it does not compute models, distinguishing it from sibling regime detection tools.

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?

Implies it's for reading pre-computed regime state without running models, but does not explicitly state when to use this vs alternatives like get_current_regime or detect_market_regime. No exclusions or when-not 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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