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Historical Market Temperature

history_market_temperature
Read-onlyIdempotent

Retrieve historical market temperature data for HK, US, CN, or SG markets over a specified date range to analyze market mood trends.

Instructions

Get historical market temperature time series

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketYesMarket code: HK, US, CN, SG
startYesStart date (yyyy-mm-dd)
endYesEnd date (yyyy-mm-dd)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesGranularity, e.g. "day".
listYesPer-period samples in chronological order.
Behavior3/5

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

Annotations already provide readOnlyHint, idempotentHint, openWorldHint, covering safety. The description adds 'time series' indicating multiple data points, but lacks further behavioral context such as date range constraints or output structure, beyond what annotations offer.

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 one succinct sentence, front-loaded with the core purpose, with no redundant or unnecessary words.

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

Completeness4/5

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

Given the simple parameters, rich annotations, and presence of an output schema, the description is nearly complete. It explicitly mentions 'time series' which is key. Minor gaps: it does not explain what 'market temperature' means, but the name and title are self-explanatory.

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 coverage is 100% with clear descriptions for market, start, end. The description does not add any additional meaning beyond the schema, so baseline 3 applies.

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 'Get historical market temperature time series' clearly states the action (get), resource (historical market temperature), and output format (time series), distinguishing it from sibling 'market_temperature' which likely provides current single-point data.

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 like 'market_temperature' or 'market_status', nor any conditions for use.

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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