Get Multi Timeframe

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

Annotations already declare read-only and idempotent behavior, and the description adds specific details about the analysis performed (timeframes and score). It does not contradict annotations and provides sufficient context for a safe read operation.

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 a single, straightforward sentence that is front-loaded with the action and includes all necessary detail without waste. It is concise and well-structured.

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 simple schema and strong annotations, the description covers what the tool does and its key inputs. The lack of an output schema is not a major gap since the tool's purpose is clearly to return a 'Confluence Score', though it doesn't detail the response format or score interpretation.

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 single parameter 'symbol' is fully documented in the schema with a clear example. The description only repeats 'for a symbol' without adding new semantics beyond the schema. With 100% schema coverage, this meets the baseline.

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 the verb 'Performs multi-timeframe analysis' and specifies the exact timeframes (Daily, 1-Hour, 15-Min) and the output ('Confluence Score'). It distinguishes itself from sibling tools like get_ohlcv or get_market_analysis by focusing on this specific analysis type.

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 clearly implies when to use the tool: when a multi-timeframe confluence score is needed for a symbol. It does not explicitly mention exclusionary conditions or alternative tools, but the purpose is narrow enough that context is clear.

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