analyze_news_sentiment

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

Discloses that it aggregates sentiment counts and is a simple tally, but does not detail sentiment categories, aggregation method, or output format. With no annotations, the description carries full burden but offers only basic transparency.

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?

Two concise sentences, front-loaded with the core purpose, no redundant information.

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?

While the tool is simple with one parameter, the description lacks specification of the output format (e.g., sentiment categories, counts structure). Without an output schema, this is a gap. It mentions 'sentiment counts' but not the data shape.

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 only parameter 'symbol' is not described in the schema (0% coverage), but the description adds meaning by specifying it refers to 'a symbol's recent news', clarifying its purpose.

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?

Clearly states 'Aggregate sentiment counts for a symbol's recent news' with a specific verb and resource, distinguishing from siblings like fetch_latest_news by noting it is just a tally.

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 guides the agent to use fetch_latest_news for nuance and this tool for the tally, providing clear context for when to use vs. alternatives.

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