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Palimpsest — censorship, China economy and model-eval observatory

Great Firewall: both layers

gfw_reading
Read-onlyIdempotent

Read the Great Firewall's current state at both layers in one call: live network blocking measured inside China via OONI (website, messenger and circumvention-tool reachability) joined with model-layer censorship from the Generative Firewall Index over Chinese LLMs. Takes no arguments. A combined convenience view — for one layer's full raw payload use get_signal with 'ooni-gfw' or 'generative-firewall-index'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already provide readOnlyHint and idempotentHint. The description adds context about the combined data (live network blocking and model-layer censorship), which is useful but not extensive.

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 sentences, front-loaded with the core purpose, and every sentence adds value without repetition.

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 tool with rich annotations, the description adequately explains the return data and alternatives. Minor gap: no mention of caching or staleness, but not critical for this context.

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?

There are no parameters. The description confirms this with 'Takes no arguments'. Per guidelines, 0 params baseline is 4.

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 explicitly states the tool reads the Great Firewall's state at both layers, specifying OONI and Generative Firewall Index. It distinguishes from siblings by noting that get_signal should be used for one layer's full raw payload.

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

Usage Guidelines5/5

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

It clearly advises when to use this tool (convenience view) and when to use the alternative (get_signal with specific arguments). It also notes that no arguments are needed.

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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TDQS

A4.2/5.0
Disambiguation3/5

get_newsroom 和 get_signal 之间的边界不够清晰,尤其是 economy 视图与中国经济信号、machine-analysis 视图与 eval 信号在功能上有所重叠;query_economic_observations 也与中国经济读取工具有部分交叠。不过每个工具的详细描述都试图说明其特定用途,且 gfw_reading、whats_happening 与 get_signal 的差异已被明确点出,因此并非完全无法区分。

Naming Consistency3/5

大多数工具遵循动词_名词模式(get_newsroom, get_signal, list_signals, query_economic_observations),但 gfw_reading 是名词+动名词结构,whats_happening 是口语化问句,打破了统一模式。整体仍保持小写蛇形且可读,属于混合惯例但可接受的级别。

Tool Count5/5

6 个工具对于一个横跨审查、中国经济和 AI 模型评估三个应用的观察站来说非常合适:既有足够的功能入口,又不过度碎片化。每个工具都对应一个明确的职责面,且内部承载多个信号/视图,工具数量与领域复杂度匹配良好。

Completeness4/5

工具覆盖了信号发现(list_signals)、单信号读取(get_signal)、组合视图(gfw_reading)、跨信号判断(whats_happening)、报道/编辑表面(get_newsroom)以及经济权限状态(query_economic_observations),基本没有明显死路。次要缺口如缺少中国经济非受限数据的直接读取或信号历史访问,但这些受制于设计策略或可通过现有工具间接获得。