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news_feed_web_search

Read-onlyIdempotent

[Read] Search the open web and return a synthesized answer with cited external pages. Built-in headline lookup, news-item search, or briefing-style news list -> search_news. X/Twitter-only discussion or tweet evidence -> search_x. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinNoOptional ticker or project (e.g. BTC, ETH) to focus the open-web synthesized answer—not platform news index tickers (search_news).
langNoAnswer language: zh (default) / en / auto.
modeNoAnswer length: analysis (default, fuller synthesized text) or brief (~100 chars). Not chart/indicator technical analysis (RSI/MACD).
limitNoMax cited external pages in the answer; default 5, max 10.
queryNoRequired NL question: search the open web and return a synthesized answer with cited external pages—not built-in headline lookup, news-item search, or briefing-style news list (search_news), nor X/Twitter-only discussion or tweet-level evidence (search_x).
time_rangeNoRecency window for open-web synthesis with cited external pages: 1h / 24h (default) / 7d / 30d. Not DeFi/TVL dashboard metrics (use platform-metrics tools).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinNo
langNo
modeNo
countYes
itemsYes
modelNo
queryNo
totalYes
sourceNo
summaryYes
disclaimerNo
key_pointsYes
time_rangeNo
duration_msYes
cited_sourcesYes

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false. The description adds extra context beyond annotations: 'No account access, no order placement or fund transfers. Not investment advice.' This goes beyond generic read-only declarations. However, it doesn't mention rate limits or authentication details, but given the strong annotation coverage, a 4 is appropriate.

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 (plus the [Read] prefix) and front-loads the primary purpose. Every sentence serves a purpose: first states what it does, second routes to alternatives and adds constraints. No wasted words.

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 an output schema present, the description doesn't need to explain return values. All 6 parameters are documented with useful details. Usage guidance, exclusions, and safety disclaimers are covered. Nothing an agent needs to call the tool correctly is missing.

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 100% with detailed descriptions for each parameter. The descriptions add meaning beyond the schema by disambiguating from siblings (e.g., coin: 'not platform news index tickers (search_news)'). The description itself also reinforces the synthesized-answer behavior. This exceeds the baseline 3 for full 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?

States a specific verb and resource: 'Search the open web and return a synthesized answer with cited external pages.' It also explicitly distinguishes from siblings by pointing to search_news and search_x for alternative use cases. An agent can clearly identify what this tool does without opening the schema.

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?

Gives explicit when-to-use guidance: 'Built-in headline lookup, news-item search, or briefing-style news list -> search_news. X/Twitter-only discussion or tweet evidence -> search_x.' Also includes context like 'Read-only public research data' and disclaimers about account access and investment advice, providing clear boundaries.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: event lists vs details, news index vs open web vs X vs multi-platform UGC, prediction event signals vs orderbooks vs rankings. Descriptions cross-reference alternatives, so an agent can reliably choose the right tool.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with domain prefixes (news_events, news_feed, news_prediction). Verbs are get, search, list, explain, and nouns clearly describe the resource. No mixed conventions or vague names.

Tool Count5/5

18 tools is well-scoped for the server's broad read-only purpose covering news, social sentiment, prediction markets, and market-move reports. Each tool covers a distinct function without redundancy or bloat.

Completeness5/5

The tool surface covers the full read-only lifecycle: searching and filtering events, retrieving details, aggregating social signals, searching various sources, and accessing prediction market data. No obvious gaps for the stated domain; all necessary operations are present.