combined_analysis

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

No annotations are provided, so the description bears full responsibility. While it labels the tool as a 'POWER TOOL', it does not disclose behavioral traits such as rate limits, cost, required permissions, or what the combined output looks like (e.g., a summary or raw data).

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 brief without unnecessary words, but it is too minimal. It could benefit from a structured output format or bullet points. It earns its place but lacks depth.

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 (combining three data sources), the absence of output schema, and 0% schema coverage, the description is severely incomplete. It fails to explain what is returned, how results are presented, or any limitations (e.g., if news only covers certain markets).

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 description coverage is 0%, so the description must add meaning. It provides example values for symbol, exchange, and timeframe but does not explain the role of each parameter (e.g., how exchange affects data sources) or acceptable formats beyond the examples.

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 combines TradingView technical analysis, Reddit sentiment, and financial news, making the purpose specific and actionable. However, it does not differentiate from siblings like market_sentiment or financial_news, which could cause confusion.

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 provides no guidance on when to use this tool versus alternatives like market_sentiment or financial_news. It lacks context on prerequisites or situations where the combined analysis is preferable.

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