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get_bittensor_stats

Retrieve live Bittensor (TAO) cryptocurrency price, network statistics, and staking yield details for passive income analysis.

Instructions

Get live Bittensor (TAO) price, network stats and a breakdown of passive income options including staking yield.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'live' data, implying real-time or current information, but fails to specify data sources, update frequency, rate limits, authentication needs, or error handling. For a tool with zero annotation coverage, this leaves significant gaps in understanding its operational behavior.

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 a single, efficient sentence that front-loads the core purpose ('Get live Bittensor (TAO) price, network stats') and adds relevant details ('breakdown of passive income options including staking yield') without any wasted words. Every part of the sentence contributes to understanding the tool's function.

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?

Given the tool's complexity (simple data retrieval with 0 parameters) and lack of annotations/output schema, the description is minimally complete—it states what data is returned but omits behavioral details like data freshness, sources, or format. It's adequate for basic use but leaves operational questions unanswered, fitting a score of 3 as the minimum viable.

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 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description adds no parameter-specific information, which is acceptable since no parameters exist. A baseline of 4 is appropriate as the description doesn't need to compensate for any parameter gaps.

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 the tool's purpose with specific verbs ('Get live Bittensor (TAO) price, network stats') and resources ('Bittensor (TAO)', 'passive income options'), distinguishing it from siblings like get_crypto_price (general crypto) or get_stock_quote (stocks). It explicitly identifies the target cryptocurrency and the types of data returned.

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 implies usage context by specifying 'Bittensor (TAO)' and 'passive income options including staking yield', which guides when to use this tool (for TAO-specific data with income insights) versus siblings like get_crypto_price (general prices) or get_global_crypto_market (broad market data). However, it lacks explicit exclusions or named alternatives.

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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