multi_timeframe_analysis

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

No annotations are provided, so the description carries the full burden of disclosure. It does not state whether the tool is read-only, what data sources or timeframes are used, whether results are cached or delayed, or what the response contains, leaving significant behavioral gaps for an analysis 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 a single short sentence with no wasted words, but it is under-specified rather than appropriately concise. It front-loads the action but omits key context that would make the sentence more useful.

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 complexity implied by 'multiple timeframes' and the absence of annotations or an output schema, the description is incomplete. It does not explain which timeframes are analyzed, what outputs to expect, or how to interpret the results, so an agent lacks enough context to call it confidently.

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 100%, and the single parameter is documented as a 'Cryptocurrency symbol'. The description adds no meaning beyond the schema, so the baseline of 3 is appropriate for a well-documented one-parameter 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 states a verb ('Analyze') and a resource area ('trends and signals across multiple timeframes'), so the general purpose is understandable. However, it does not specify which timeframes, what signals, or how this differs from sibling analysis tools such as get_trading_signals, get_technical_indicators, or get_full_analysis.

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?

There is no explicit guidance on when to use this tool versus alternatives. The description implies it is for multi-timeframe analysis, but an agent must infer that from the name and cannot tell when to choose it over get_full_analysis or get_trading_signals.

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