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by aliyun

ConvertTimestamps

Convert timestamps to readable dates and times using customizable formats for DataWorks data processing workflows.

Instructions

将时间戳转成日期或时间。返回内容如果有时间戳,透过此Tool显示成为日期或时间。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
TimestampsYes时间戳数组
FormatNo日期格式,如:YYYY-MM-DD HH:mm:ss
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the tool displays converted timestamps but doesn't specify whether this is a read-only operation, what happens with invalid timestamps, if there are rate limits, or what the output format looks like. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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

Conciseness3/5

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

The description is reasonably concise with two sentences, but could be more front-loaded. The second sentence essentially restates the purpose with slightly different wording. While not wasteful, it doesn't maximize information density or provide a clear hierarchy of information.

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?

For a data transformation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens with invalid inputs, what timezone is used, whether the operation is idempotent, or what the return structure looks like. Given the complexity of timestamp conversion and lack of structured metadata, more context is needed.

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%, so the schema already documents both parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema - it doesn't explain timestamp format expectations, default behaviors, or provide examples of valid formats. Baseline 3 is appropriate when the schema does the heavy lifting.

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 tool's purpose: converting timestamps to dates/times. It specifies both the action ('转成' meaning convert) and the resource ('时间戳' meaning timestamps). However, it doesn't differentiate from its sibling tool 'ToTimestamps' which appears to do the inverse operation, preventing a perfect 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 on when to use this tool. It mentions '返回内容如果有时间戳' (if the returned content has timestamps), which gives a basic context, but doesn't explicitly contrast with alternatives like 'ToTimestamps' or explain when one would choose conversion over other timestamp handling methods.

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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