get_sentiment_batch

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

With no annotations, description fully discloses important behaviors: each ticker counts as separate request against daily rate limit, latest_3 articles omitted per result, and suggests fallback for full data. No contradictions.

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?

Four sentences, front-loaded with key purpose, each sentence adds distinct value: purpose, efficiency, rate limit, data truncation. No redundancy.

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 no output schema, description hints at response structure (articles omitted per result) but could explicitly state return format. Still adequately covers usage constraints and outcome.

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?

Schema covers both parameters with descriptions (100% coverage). Description adds no new parameter-specific details beyond schema. Baseline 3 is appropriate as schema does the work.

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?

Description clearly states 'Get sentiment for multiple tickers in one call' with specific verb and resource. Distinguishes from sibling get_sentiment by emphasizing it's for multiple tickers and more efficient for watchlists.

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?

Explicitly says when to use: 'More efficient than calling get_sentiment N times when you have a watchlist.' Also explains billing implications and data truncation, advising to call get_sentiment for full payload.

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