market_sentiment

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

With no annotations, the description carries the full burden for behavioral disclosure. It mentions 'real-time' but doesn't describe output format, whether it's read-only, limitations, or how sentiment is computed. The description adds no details about side effects or expected response structure.

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 extremely concise: one sentence for purpose, then a compact args list. Every line is informative, no filler or redundant phrasing. Front-loaded purpose makes it immediately scannable.

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?

Despite clear purpose and param docs, the description is incomplete given no output schema and no annotations. It fails to explain what the tool returns (e.g., sentiment score, post list), which is critical for correct invocation. Also lacks any mention of rate limits or usage prerequisites.

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 descriptions are empty (0% coverage), so the description must compensate. It does so fully by listing each parameter with examples and meaning: symbol examples, category allowed values, and limit as 'Number of posts to analyze'. This adds significant value beyond the bare schema.

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 explicitly states 'Real-time Reddit sentiment analysis for stocks and crypto' with a specific resource (Reddit posts) and scope (stocks/crypto). It clearly distinguishes itself from sibling tools like market_snapshot or financial_news by focusing on sentiment from Reddit.

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 implies use for sentiment analysis on Reddit discussions, but doesn't explicitly state when to use it versus alternatives like financial_news or market_snapshot. No exclusions or alternative recommendations are provided, so guidance is implied rather than explicit.

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