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Xplore-LAB

asmemory

by Xplore-LAB

memory_export_datalens

Export monitoring metrics, control actions, and regulatory limits as DataLens-ready CSV and config files for visualization and optimization analysis.

Instructions

导出 DataLens 格式(监控指标+控制手段+红线)的 CSV 与 config,用于可视化优化分析。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNo
site_nameNo
control_nameNo
control_unitNo
control_verbYes控制动作 verb,如 valve_adjust
indicator_nameNo指标显示名(中文),可选
indicator_unitNo
indicator_entityYes指标实体,如 oxygen
indicator_metricYes指标名,如 purity
regulatory_limitYes法规红线
Install Server

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It states that the tool produces CSV and config artifacts and what data categories are included, which is useful. It does not explicitly confirm that memory is not modified, nor does it mention permissions or side effects, so it is only partially transparent.

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?

A single sentence with no filler: verb, object, format, content scope, and purpose are all present. It is easy to scan and every phrase contributes.

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

Completeness3/5

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

For a 10-parameter export tool with no annotations and no output schema, one sentence gives only the high-level context. The schema covers parameter names and some descriptions, and the description covers output format and purpose, but config structure, return behavior, and side effects remain unspecified. It is adequate but has clear gaps.

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 description coverage is 50%, so parameter semantics are only partially compensated. The description groups parameters into monitoring metrics, control means, and regulatory red lines, which maps roughly to the required schema fields. It does not explain the optional parameters or add meaningful details beyond the schema descriptions.

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 identifies the operation (导出/export), the output artifacts (DataLens-format CSV and config), and the intended purpose (visualization optimization analysis). It is distinguishable from the memory_* sibling tools by the export action, though it does not explicitly name a closest sibling.

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

Usage Guidelines3/5

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

The final clause '用于可视化优化分析' implies the tool should be used when visualization-oriented optimization analysis is needed, which is reasonable context. It does not state when not to use it or name an alternative, so the usage guidance is implied rather than explicit.

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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