Skip to main content
Glama

Liquid State — Crypto Market Intelligence

get_market_state

Consolidated live crypto market snapshot designed for AI citation: BTC/ETH/SOL funding rates, prices, open interest, 24h liquidation aggregate, and a derived regime signal (Bullish/Bearish/Neutral). Returns as_of timestamp, source, and citation string. Use when the user asks about current crypto market conditions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the tool's read-only nature implicitly and details the returned data: as_of timestamp, source, citation string, and various market metrics. It also states the derived regime signal. It does not mention rate limits or data freshness caveats, but the snapshot behavior is well described.

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?

The description is compact and front-loaded, leading with the core purpose ('Consolidated live crypto market snapshot designed for AI citation'), then itemizing contents and return fields, and closing with a usage directive. Every sentence adds value with no redundancy.

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 the tool has no parameters and no output schema, the description provides enough detail about the return contents and intended use case for an agent to call it correctly. It could be slightly more complete by mentioning likely alternatives for specialized derivative queries, but overall it is sufficient.

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

Parameters4/5

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

The tool has zero parameters and the schema is an empty object, so there is nothing for the description to add about parameter semantics. The baseline of 4 for no-parameter tools applies, and the description does not need to compensate for any schema gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns a consolidated live crypto market snapshot with a specific list of components (funding rates, prices, open interest, liquidations, regime signal). It distinguishes itself via 'designed for AI citation' and includes return fields, though it does not explicitly differentiate from siblings like get_market_overview or get_derivatives.

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

Usage Guidelines4/5

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

It provides an explicit usage condition: 'Use when the user asks about current crypto market conditions.' This gives clear context for when to invoke the tool, but it does not mention when not to use it or name alternative sibling tools for related requests.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation3/5

Most tools are clearly distinct, but get_market_overview and get_market_state both return funding and price snapshots for BTC/ETH/SOL, with get_market_state adding OI, liquidations, and a regime signal. get_derivatives also overlaps with get_market_state on funding and open interest at the single-asset level, which could cause an agent to pick the wrong tool.

Naming Consistency5/5

All six tools follow a consistent get_<resource> naming pattern with clear, descriptive nouns. There are no mixed casing styles, vague verbs, or inconsistent conventions.

Tool Count5/5

Six tools is a well-scoped size for a crypto market intelligence server. Each tool has a distinct role in the set: news briefs, derivatives data, guides, market overview, market state, and track record.

Completeness4/5

The tool surface covers the core intelligence workflows well: recent analysis, derivatives data, market snapshots, educational content, and a verifiable track record. Minor gaps exist, such as no historical data endpoints and limited spot-price coverage beyond BTC/ETH/SOL, but agents can generally work around these.

Resources