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cls_describe_logsets

Retrieve and filter logset lists from Tencent Cloud Log Service for project management, showing ID, name, tags, retention period, and topic counts.

Instructions

查询日志集列表。日志集是 CLS 的项目管理单元,包含多个日志主题。

参数说明

  • offset: 分页偏移量,默认 0

  • limit: 每页条数,默认 20

  • logset_name: 按日志集名称过滤(可选,模糊匹配)

  • region: 地域(可选),如 ap-guangzhou、na-ashburn,不传则使用默认地域,可通过 cls_describe_regions 查询所有可用地域

返回信息

  • 日志集 ID、名称、标签

  • 保存周期、创建时间

  • 包含的日志主题数量

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offsetNo
limitNo
logset_nameNo
regionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries full burden. It describes the tool as a query operation (consistent with read-only behavior) and mentions pagination behavior (offset/limit defaults). However, it doesn't disclose important behavioral traits like authentication requirements, rate limits, error conditions, or whether this is a safe read operation versus a mutation.

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 well-structured with clear sections (purpose, parameters, return information). Every sentence earns its place by providing essential information. The Chinese text is efficient with no redundant phrases. The structure helps users quickly find what they need.

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 tool has an output schema (true), the description appropriately focuses on explaining what the tool does rather than detailing return values. It covers parameters comprehensively and provides context about logsets. For a read-only list tool, this is mostly complete, though it could benefit from more behavioral context given the lack of annotations.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by providing detailed parameter explanations. Each of the 4 parameters gets clear semantic meaning: offset as pagination offset, limit as page size, logset_name as fuzzy match filter, and region with examples and reference to another tool. The description adds significant value beyond the bare schema.

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 clearly states the tool's purpose with specific verb ('查询' - query) and resource ('日志集列表' - logsets list). It distinguishes from siblings by focusing on logsets rather than topics, alarms, or other CLS resources. The explanation that logsets are project management units containing multiple log topics provides helpful context.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool (to list logsets with optional filtering). It mentions that region can be obtained via 'cls_describe_regions', which is a helpful alternative reference. However, it doesn't explicitly state when NOT to use this tool or compare it directly with similar sibling tools like 'cls_describe_topics'.

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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