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Palimpsest — censorship, China economy and model-eval observatory

Evidence and reporting desks

get_newsroom
Read-onlyIdempotent

Read one evidence-first reporting surface without scraping a page or guessing a filename. Views: 'newsroom' for prioritized deterministic stories, 'wire' for normalized source dossiers, 'economy' for the currently restricted China economic pulse, 'machine-analysis' for the currently restricted AnalysisReports and AbstentionReports, 'investigations' for review-gated research leads, 'editorial-readiness' for publication gates, and 'interconnection' for named-key fat-object joins on China situation events (topic-surface-only, never wire corroboration). The economy, machine-analysis and interconnection views are metadata-only until a lineage-filtered rebuild removes denied derivatives. Availability never implies publication readiness: statuses, gates, counterevidence, limitations and right-to-reply state stay attached.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNonewsroom
limitNo
statusNooptional exact status filter for story/case views
priorityNooptional exact priority filter for the newsroom view

TDQS

A4.2/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint, but the description adds substantial behavioral context: which views are restricted, which are metadata-only pending a lineage-filtered rebuild, and that availability never implies publication readiness. This goes well beyond what the annotations convey.

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

Conciseness4/5

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

The description is front-loaded with a clear action and then organizes the views in a scannable list. It is dense and includes relevant caveats, though the long semicolon-run style and specialized phrasing could be slightly more concise.

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's complexity, annotations, and lack of output schema, the description covers view selection, restricted access, metadata-only behavior, and status attachment. It does not explicitly describe the return shape, but this is a read-only, no-output-schema tool and the key operational constraints are present.

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 schema covers status and priority with descriptions, and the tool description adds meaning to the undocumented 'view' parameter by explaining each enum value. The 'limit' parameter is not described in prose, but its schema-level minimum/maximum/default are explicit, so the description compensates adequately for the coverage gap.

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 uses a specific verb ('Read') and names the resource ('evidence-first reporting surface'), then enumerates all seven views with their distinct meanings. It does not explicitly differentiate this from siblings like get_signal or whats_happening, but the view list makes the tool's scope clear.

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 gives clear context by explaining what each view is for ('newsroom' for prioritized deterministic stories, 'wire' for normalized source dossiers, etc.) and flags restricted/metadata-only views. It does not name alternative tools or provide explicit when/when-not comparisons, but the within-tool view guidance is strong.

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。