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Palimpsest — censorship, China economy and model-eval observatory

Query China economic observations

query_economic_observations
Read-onlyIdempotent

Inspect the native publication-rights status for the China-economic observation surface. The reviewed default-deny policy does not authorize redistribution of current CFETS/ChinaMoney values, so this tool returns policy digest, UTC clocks, per-source decisions and zero published-record status only. It never reads or returns observation rows, empty row arrays, derived signals, or neutral replacements. Filters are validated for contract compatibility but cannot override source rights.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofNopoint-in-time cutoff applied to BOTH released_at and collected_at; omitted means the full published ledger
limitNo
cursorNoopaque next_cursor from the preceding page
sectorNoexact sector filter
firm_sizeNoexact firm_size filter
geographyNoexact geography filter
ownershipNoexact ownership filter
series_idNoexact series_id filter
source_idNoexact source_id filter
period_endNoinclusive upper bound on observation period_end
released_toNoinclusive upper bound on released_at
period_startNoinclusive lower bound on observation period_start
released_fromNoinclusive lower bound on released_at
revision_viewNoall visible vintages, or the newest knowable revision per source/series/slice/periodlatest-as-of

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses the critical behavioral restriction: default-deny policy prevents redistribution of current CFETS/ChinaMoney values, so the tool returns only policy digest, UTC clocks, per-source decisions, and zero published-record status. It also states that filters cannot override source rights and that observation rows are never read or returned.

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 dense, front-loaded sentences with no filler. It leads with purpose, immediately states the most important restriction, and every sentence adds necessary context.

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 tool with 14 optional parameters and no output schema, the description explains the non-obvious return behavior and rights context well. It could be slightly more specific about the shape of 'policy digest' and 'per-source decisions,' but the essential expectations are clearly set.

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?

Schema coverage is 93%, so most parameters are already documented. The description adds valuable cross-cutting semantics by explaining that filters are validated for contract compatibility but cannot override source rights, which applies to all filter parameters and is not inferable from the schema alone.

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 identifies a specific action ('Inspect') and resource ('native publication-rights status for the China-economic observation surface'). It also explicitly states what the tool returns and does not return, distinguishing it from an ordinary observation-query tool despite the misleading name.

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: use this tool to check publication rights and policy status, not to retrieve observation rows. It explicitly excludes observation data retrieval, though it does not name alternative tools or provide an explicit when-not-to-use comparison.

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。