get_funding_rate
Current SOL and BTC perp funding rates, mark prices, open interest (Hyperliquid). Costs $0.002 USDC per call (x402, Solana mainnet).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Current SOL and BTC perp funding rates, mark prices, open interest (Hyperliquid). Costs $0.002 USDC per call (x402, Solana mainnet).
| 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 and no output schema, the description carries the behavioral burden well: it discloses the $0.002 USDC cost, the x402 payment mechanism, Solana mainnet, and the Hyperliquid data source. It also enumerates the returned fields, though it does not describe response shape or rate limits.
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?
Two terse, information-dense sentences: the first delivers the data scope and venue, the second adds the cost and payment rail. No filler or redundant wording.
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 paid data tool, this is largely complete: an agent knows the assets, the market data returned, the venue, the cost, and the payment network. A response format example would be a nice addition, but it is not a blocking gap given the simplicity of the call.
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 input schema is empty, so there are no parameter semantics to explain. The baseline 4 applies because the tool requires no arguments and the description provides all necessary context.
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 states the resource: current SOL and BTC perp funding rates, mark prices, and open interest on Hyperliquid. This is specific enough to distinguish it from many sibling tools by asset and data type, though it does not explicitly name an alternative.
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 word 'Current' and the explicit SOL/BTC/Hyperliquid scope imply when this tool is appropriate. However, there is no explicit when-not-to-use guidance or comparison to sibling tools like get_funding_history, get_funding_cross, or get_open_interest.
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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