volume_confirmation_analysis

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

The annotations already indicate readOnlyHint=true and destructiveHint=false, and the description adds no additional behavioral context such as rate limits, data source, or what 'analysis' entails. While the description is consistent with the annotations, it provides no extra transparency about side effects or system behavior beyond what annotations already capture.

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 concise and front-loads the main purpose, followed by a parameter list. It could be better structured with consistent formatting or a more explicit separation between the summary and details, but it is not bloated and every word earns its place.

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?

For a read-only analysis tool with only three parameters and no output schema, the description is adequate. It explains the parameters and the tool's purpose. However, it does not mention what happens after analysis (e.g., output format, examples), which could be important for an agent to know. But given the simplicity and the presence of annotations, this is a minor gap.

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 input schema has no descriptions for any parameter (0% schema coverage), but the description's Args section provides brief definitions: 'Coin symbol', 'Exchange name', 'Time frame for analysis'. This adds meaning and compensates for the schema gap, though the definitions are minimal and could be more detailed (e.g., accepted formats, 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 the tool performs 'volume confirmation analysis' for a specific coin, which is a specific verb+resource. It includes the parameters symbol, exchange, and timeframe, making its purpose clear. However, it does not explicitly differentiate itself from sibling tools like volume_breakout_scanner, so it loses a point for not distinguishing from alternatives.

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?

No guidance is provided on when to use this tool versus other volume-related tools in the sibling list. The description only lists parameter names without any context about typical use cases, prerequisites, or alternatives. This is essentially no usage guidance beyond the tool's name.

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