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Instrument news

public_instrument_news
Read-onlyIdempotent

Latest news for a ticker — headline, a short summary and a mandatory source_url to the original article (never the full third-party text). Use to ground a market read in recent, attributable news.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax articles to return (default 30, max 60)
tickerYesTicker symbol, e.g. 'NBIS', 'AAPL', 'GDX'
days_backNoHow many days back to fetch (default 30, max 90)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsNo

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds valuable behavioral context beyond those hints: it guarantees a mandatory source_url and explicitly states that the full third-party article text is never returned, which is important for agents to understand output limitations.

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, both dense with useful information: the first defines the return contract, the second explains the use case. No wasted words, and the key behavioral constraint (never full third-party text) is front-loaded.

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?

Given the presence of a full output schema, rich annotations (read-only, idempotent, non-destructive), and complete parameter documentation, the description covers all needed context for an agent to invoke the tool correctly. It also explains the output's nature and the intended grounding use case, making it sufficiently complete.

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?

The input schema has 100% coverage with all three parameters described, so the baseline is 3. The description adds minimal parameter-level detail beyond the schema; it mentions 'recent' news and 'ticker' implicitly, but does not enrich the meanings of limit or days_back beyond what is already in the schema.

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 returns the latest news for a ticker, listing the specific content (headline, short summary, mandatory source_url), which precisely defines its function. It distinguishes itself from sibling tools by focusing on per-ticker news rather than broader search or market context.

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 explicitly recommends using it 'to ground a market read in recent, attributable news,' providing a clear use case. It does not explicitly mention when to prefer alternatives like public_search_news, but the ticker-specific scope makes the intended context clear.

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
Disambiguation5/5

Each tool maps to a distinct data category or function (prices, indicators, levels, sentiment, macro, crypto, intermarket, breadth, news, etc.). The few related tools are clearly separated by current vs. historical data, specific ratios vs. multi-lens overviews, or news lookup vs. news search.

Naming Consistency4/5

The majority of tools follow a consistent get_<noun> pattern with snake_case (e.g., get_price_history, get_technical_indicators). Two news tools use a public_ prefix instead, creating a minor but visible inconsistency.

Tool Count5/5

15 tools is within the ideal range for a market-data server and each tool covers a meaningful slice of the domain without redundancy. The count feels well-scoped for the server's purpose.

Completeness4/5

The tool surface is impressively broad, covering prices, indicators, sentiment, macro, crypto, intermarket analysis, news, and methodology. However, common data types like fundamentals (P/E, balance sheets) and options chains are absent, leaving a few potential user questions unanswered.

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