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get_region_signal

Read-only

The current AI signal for a region (china, korea, japan, or eu) — recent, relevance-scored items on that region's models, labs, and analysis, ranked by momentum. Includes local-language press translated into English. The canonical regional tool; get_china_signal is a preset of this with region "china". Returns titles, sources, and links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax items (default 15, cap 40).
regionYesRegion slug (china, korea, japan, eu).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
hasMoreNoget_new_since: more items available now.
providerNoAttribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.
nextCursorNoget_new_since: pass back as cursor.

TDQS

A4.7/5.0
Behavior5/5

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

Annotations provide readOnlyHint=true, but the description adds substantial behavioral context: items are relevance-scored and ranked by momentum, local-language press is translated to English, and the output includes titles, sources, and links. This goes well beyond the annotation to explain how the tool behaves and what the user receives.

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 three sentences, front-loading the core purpose, then covering translation and return details. Every sentence contributes distinct information with no redundancy or filler.

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

Completeness5/5

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

With a readOnly hint, a present output schema, and full parameter schema coverage, the description still adds value by explaining the signal's nature (relevance-scored, momentum-ranked), translation of local press, and return fields. It also addresses the relationship to a sibling tool, making it complete for the tool's complexity.

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 coverage is 100% with descriptions for both region (enum) and limit (default/cap). The description adds little beyond the schema—only reiterating the region values and noting that get_china_signal is a preset, which doesn't materially enhance parameter meaning. Baseline 3 is appropriate given the high schema coverage.

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 states the tool retrieves the current AI signal for a region, enumerates the valid regions (china, korea, japan, eu), and describes the content (recent, relevance-scored items ranked by momentum) along with the return format (titles, sources, links). It distinguishes itself from the sibling get_china_signal by positioning itself as the canonical regional tool with get_china_signal as a preset.

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?

The description explicitly states it is 'the canonical regional tool' and calls out get_china_signal as a preset for region 'china', directly informing the agent when to use this tool versus an alternative. While it doesn't compare against every sibling, the guidance is clear and actionable for regional signal needs.

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

A4.3/5.0
Disambiguation4/5

Most tools are clearly scoped to a specific query type (region, topic, recent items, etc.). The only overlap is get_china_signal as a preset of get_region_signal, but the description explicitly labels it as a shortcut, reducing ambiguity.

Naming Consistency4/5

All tools use verb_noun with underscores, but the mix of get_, list_, and search_ verbs and the get_china_signal preset (a value rather than a dimension) make it slightly less uniform than a pure get_* set.

Tool Count5/5

10 tools is within the ideal 3-15 range and covers the core operations of an AI news intelligence service without bloat.

Completeness4/5

The set covers regional/topic signals, recent updates, daily synthesis, regulation, blind spots, search, and related-item exploration. Minor gaps: no tool to fetch full article bodies (paywalled) and no explicit topic list, but core workflows are functional.

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