analyze_news_and_market_context

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

No annotations exist, so the description bears full burden. It describes outputs ('Returns analyzed articles with sentiment scores...') but does not disclose behavioral traits like rate limits, authentication needs, or potential side effects. It implies a read-only analysis tool, but lacks explicit safety or constraint details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (4 sentences) with front-loaded purpose, followed by usage context and outputs. The final sentence ('Essential for making informed investment decisions...') is somewhat generic but does not significantly detract. The structure is logical and economical.

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

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

Given the tool's complexity (6 params, no output schema, no annotations), the description adequately covers purpose, usage, and return value. It does not explain side effects or prerequisites, but for an analysis tool, these are less critical. The description is largely sufficient for an agent to understand when and how to use it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, so parameters are well-documented in the schema. The description adds no additional parameter-level meaning beyond stating that 'sector' is optional and 'news_items' is optional. Baseline 3 is appropriate as the schema already handles parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it is a 'Comprehensive news and market analysis tool' combining sentiment, market impact, and sector context. It uses specific verbs and resources ('analyze news and market context') and distinguishes itself from sibling tools like 'analyze_reddit_sentiment' or 'get_fundamental_stock_metrics' by focusing on current events and market trends.

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

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

The description explicitly lists when to use: 'when researching current events affecting a stock, evaluating news-driven price movements, or understanding how individual stocks fit into current market trends.' It does not provide explicit when-not-to-use instructions or alternatives, but the context is clear and sufficient for most agents.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.