get_market_overview
Funding rate + price snapshot for the major crypto assets (BTC, ETH, SOL) in one call. Use for a quick market-wide read.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Funding rate + price snapshot for the major crypto assets (BTC, ETH, SOL) in one call. Use for a quick market-wide read.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It conveys a read-only snapshot via 'snapshot' and lists the data included, but it does not explicitly state that no state changes occur, mention data freshness, or note any rate-limit concerns.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no filler. It front-loads the core content and follows with a direct use-case statement, making every sentence earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema, the description provides sufficient information to invoke it correctly: the asset scope and the data returned. It could be stronger by clarifying how it differs from get_market_state or get_derivatives, but the low complexity reduces the need for more.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the input schema is empty, so there is no parameter semantics for the description to clarify. The baseline of 4 applies because no parameter documentation burden exists.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as returning a funding rate and price snapshot for BTC, ETH, and SOL, which is a specific verb+resource combination. However, it does not explicitly distinguish itself from the sibling get_market_state, so it falls just short of full differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states 'Use for a quick market-wide read,' giving clear situational guidance. It does not provide when-not-to-use guidance or name alternatives, but the usage context is explicit enough for an agent to decide.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.