combined_analysis

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It lists input sources and parameters but does not describe what the output looks like, whether data is live or delayed, or any rate limits or side effects. The absence of any return-value detail is a significant gap for an aggregation tool.

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 and front-loaded: a two-line summary followed by a tight argument list. Every sentence earns its place, and the 'POWER TOOL' label immediately signals high-level aggregation.

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?

Input parameters are well covered, but the tool has no output schema and the description does not explain what the returned analysis contains or how the confluence is presented. Given the tool's moderate complexity, this omission leaves the agent guessing about the tool's actual deliverable.

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%, and the description compensates by defining all three parameters with examples and allowed values: symbol examples like 'AAPL' and 'BTCUSDT', exchange list, and timeframe list. It adds meaning beyond the bare schema, though it doesn't discuss defaults or formatting constraints.

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 that the tool combines TradingView technical analysis, Reddit sentiment, and financial news into a 'confluence analysis' for a 'complete market picture.' This distinguishes it from more specialized siblings like financial_news or market_sentiment, though it lacks a single explicit verb like 'retrieve' or 'generate.'

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 phrase 'Confluence analysis of all signals for a complete market picture' implies when to use the tool, but it never explicitly contrasts it with alternatives such as multi_timeframe_analysis or multi_agent_analysis. There is no when-not-to-use guidance, making the usage context clear but not fully explicit.

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