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get_ticker_news

Retrieve news articles for a specific stock ticker symbol to stay informed about market updates and company developments.

Instructions

Fetches news articles for a given stock ticker symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesThe stock symbol
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal information. It states the tool fetches news but doesn't describe what 'fetches' entails—e.g., whether it returns recent articles, a limited number, requires authentication, has rate limits, or handles errors. This leaves significant gaps in understanding the tool's behavior.

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 a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly, which is ideal for conciseness.

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

Completeness2/5

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

Given the complexity of fetching news (which can involve recency, volume, or format considerations), no annotations, and no output schema, the description is incomplete. It doesn't address what the output looks like (e.g., list of articles, summaries), potential constraints, or how it differs from sibling tools, leaving the agent with insufficient context for effective use.

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 description mentions 'a given stock ticker symbol,' which aligns with the single parameter 'symbol' in the input schema. Since schema description coverage is 100% (the schema already describes 'symbol' as 'The stock symbol'), the description adds no additional semantic value beyond what's in the schema, meeting the baseline for high coverage.

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 clearly states the action ('fetches') and resource ('news articles') with a specific scope ('for a given stock ticker symbol'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'search_news' or 'get_ticker_info', which could provide similar or overlapping functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'search_news' (which might allow broader queries) or 'get_ticker_info' (which might include news as part of broader data). There's no mention of prerequisites, limitations, or typical use cases beyond the basic function.

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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