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Wang-JQ77

deepseek-litresearch

by Wang-JQ77

get_settings

Check active plugin configuration for Sci-Hub, EZProxy, TDM API, and report language. Returns the effective settings merged from settings.json, environment variables, and defaults.

Instructions

查看当前插件设置(Sci-Hub / EZProxy / TDM API / 报告语言等)。

返回 settings.json、环境变量与默认值合并后的生效配置。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 carries the full burden of behavior disclosure. It adds valuable context by explaining that the returned configuration merges settings.json, environment variables, and defaults. However, it does not disclose potential staleness, error behavior, or whether the plugin must be initialized first, leaving some behavioral ambiguity.

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 two concise sentences: the first states the purpose and target categories, the second defines the return value semantics. Every word earns its place, and there is no redundant or filler content.

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?

For a zero-parameter, read-only tool with no output schema, the description covers the essential call contract: what it retrieves and the structure of the returned configuration. It could tie usage to set_settings or warn about precedence, but those are more usage-related than completeness gaps.

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

Parameters4/5

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

The input schema has zero parameters, so the baseline is 4. There is no parameter information to provide, and the description does not need to explain any. This is appropriate for a parameterless getter.

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 function: viewing current plugin settings, enumerating specific categories (Sci-Hub / EZProxy / TDM API / report language). It identifies the resource precisely and explains the return value is the effective merged configuration. However, it does not explicitly differentiate it from sibling tools like get_config_guide or set_settings, relying on the name to imply read vs. write.

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 given on when to use this tool versus alternatives. It does not mention that this is the read companion to set_settings, nor does it advise using it before modifying settings. The agent must infer usage context entirely from the name and purpose, which is a clear gap.

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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