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get_ticker

Retrieve current market data for cryptocurrency trading pairs, including price, volume, and bid-ask spreads, to inform trading decisions.

Instructions

Get current ticker information for a specific market.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesMarket symbol, e.g. "BTC-KRW"
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. It implies a read operation ('Get') but doesn't disclose behavioral traits such as rate limits, authentication needs, error handling, or what 'ticker information' entails (e.g., price, volume). This is inadequate for a tool with no annotation coverage.

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 action and resource. There is no wasted text, making it appropriately sized and easy to parse quickly.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'ticker information' includes (e.g., fields returned) or behavioral aspects like performance or errors. For a data retrieval tool in a financial context, this leaves significant gaps for the agent.

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

Parameters3/5

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

Schema description coverage is 100%, with the parameter 'symbol' well-documented in the schema as 'Market symbol, e.g., "BTC-KRW"'. The description adds no additional parameter semantics beyond this, so it meets the baseline for high schema coverage without compensating value.

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 verb ('Get') and resource ('current ticker information') with scope ('for a specific market'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_markets' or 'get_orderbook', which might provide related market data, so it doesn't reach the highest score.

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

Usage Guidelines2/5

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

The description provides minimal guidance by specifying 'for a specific market', but it lacks explicit when-to-use instructions, alternatives (e.g., vs. 'get_markets' for listing markets or 'get_orderbook' for depth data), or exclusions. This leaves the agent with little context for tool selection among siblings.

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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