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NaniDAO

agentek-eth

by NaniDAO

getTokenChart

Retrieve historical price chart data for cryptocurrency tokens to analyze market trends and performance over time using DeFi Llama data.

Instructions

Gets historical price chart data for one or more tokens from DeFi Llama

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokensYesToken identifier in format "chain:address" (e.g., "ethereum:0x...", "coingecko:ethereum") or array of such identifiers
periodNoTime interval between data points. Format: 1h, 4h, 1d, 1w (defaults to "1d")1d
startTimeNoISO timestamp for the start time (e.g., "2025-01-01T00:00:00Z")
optionsNoOptional configuration for the chart data
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 states the tool 'gets' data, implying a read-only operation, but doesn't mention potential rate limits, authentication needs, data freshness, or error conditions. For a data-fetching tool with zero annotation coverage, this leaves significant gaps in understanding its 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 without unnecessary words. Every part of the sentence earns its place by specifying the action, resource, and data source, making it highly concise and well-structured.

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 complexity (4 parameters with nested objects) and lack of annotations or output schema, the description is insufficient. It doesn't explain what the returned chart data looks like (e.g., format, fields), potential limitations, or how to interpret results. For a tool fetching historical price data, this leaves too many unknowns for effective use.

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?

The schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description doesn't add any additional meaning or context beyond what's in the schema (e.g., it doesn't explain token format conventions or period implications). With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but also doesn't detract.

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 action ('Gets historical price chart data') and resource ('for one or more tokens from DeFi Llama'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'getCryptoPrice' or 'getTransactionsChart', which might offer related price or chart 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 no guidance on when to use this tool versus alternatives. With many sibling tools related to tokens, prices, and charts (e.g., 'getCryptoPrice', 'getTransactionsChart'), there's no indication of context, prerequisites, or exclusions to help an agent choose appropriately.

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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