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crypto_funding-rate

Read-onlyIdempotent

Compute annualized funding cost and projected payments from perpetual futures funding rates to identify carry trade opportunities.

Instructions

Funding rate analysis with annualization and regime detection.

Use when analyzing perpetual futures funding rates. Provide funding rate, position size, and holding period. Returns: annualized funding cost, projected payments, and carry trade opportunity estimate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
funding_ratesYesArray of funding rate entries
position_sizeNoOptional position size for P&L calculation
payment_interval_hoursNoHours between funding payments
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds return value expectations (annualized cost, projected payments, carry trade estimate) beyond annotations, but could mention that no trades are executed or data limitations.

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 three sentences: purpose, usage scenario, and outputs. It is front-loaded and contains no unnecessary words, making it efficient and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description conveys main outputs but lacks detail on 'regime detection' and does not explain how results are presented. With no output schema, more specifics on structure or edge cases would improve completeness.

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?

Schema coverage is 100%, so baseline is 3. The description adds context by mentioning 'holding period' (not a direct parameter but implied) and links inputs to outputs, slightly enhancing understanding beyond the schema.

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 clearly states it performs 'funding rate analysis with annualization and regime detection,' a specific verb+resource. It distinguishes from siblings by specifying 'perpetual futures funding rates' and listing outputs not found in other crypto tools.

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?

The description explicitly says 'Use when analyzing perpetual futures funding rates,' providing clear usage context. However, it does not mention when not to use it or name alternative tools for related tasks like swap comparisons.

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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