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xpay✦ Finance Collection

dome_candlesticks

Fetches historical candlestick data for a market identified by condition_id, over a specified interval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_timeYesUnix timestamp (in seconds) for end of time range
intervalNoInterval length: 1 = 1m, 60 = 1h, 1440 = 1d. Defaults to 1m. ⚠️ Note: There are range limits for interval — specifically: 1 (1m): max range 1 week 60 (1h): max range 1 month 1440 (1d): max range 1 year
start_timeYesUnix timestamp (in seconds) for start of time range

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only indicates that data is fetched (a read operation) and mentions an interval, but omits details about return format, rate limits, error cases, or the fact that the referenced condition_id is not a parameter. This is insufficient for a tool with no annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no wasted words. However, the mention of condition_id, which is not in the schema, adds confusion and reduces clarity slightly, so it doesn't earn a perfect 5.

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?

With no output schema and no annotations, the description should provide more context about return values, limitations, or the missing market identifier. It fails to explain how to identify the market, making the tool difficult to invoke correctly.

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 input schema provides 100% coverage with descriptions for start_time, end_time, and interval, including range limits. The description adds no new parameter semantics; it only restates 'over a specified interval' which already appears in the schema. Baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool fetches historical candlestick data, which is a specific action and resource. However, it references 'condition_id' as the market identifier, but this parameter is absent from the input schema, creating confusion about how to specify the market. It doesn't clearly differentiate from sibling price and market tools.

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?

No guidance is provided on when to use this tool versus alternatives like dome_market_price or dome_orderbook_history. The description only states its function, implying usage but offering no context, prerequisites, or exclusions.

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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