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

No annotations are provided, so the description must disclose behavioral traits. It notes that data comes from 'Orion's latest snapshot' (suggesting it may not be live) and includes 'provenance links.' However, it does not explicitly state that the operation is read-only (implied by 'get'), nor does it mention authentication, rate limits, or potential staleness beyond the snapshot wording. This is partial but not comprehensive.

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, dense sentence that front-loads the core purpose and enumerates the specific metrics included. Every word adds value, with no filler or repetition. The structure is ideal for rapid parsing by an AI agent.

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 simplicity (no parameters, no output schema), the description is fairly complete: it lists the exact metrics returned and notes the inclusion of provenance links. It does not specify the response format (e.g., JSON structure), but the contents are well-covered. For a snapshot getter, this is adequate, though a note on format or update frequency would enhance completeness.

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 tool has zero parameters, and the input schema is empty. With no inputs to explain, the description does not need to add parameter semantics. The baseline of 4 applies here, as there is nothing to clarify and the description correctly focuses on outputs.

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's function: retrieving current Celestia mainnet metrics from a snapshot. It lists specific metrics (height, DA volume, fees, validators, etc.), which distinguishes it from sibling tools like get_metric_history or get_top_validators. The verb 'get' in the name and the explicit resource ('Celestia mainnet metrics') make the purpose unambiguous.

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 establishes clear context: this tool provides a current snapshot of network metrics. It implies usage for obtaining an overview of Celestia's current state. It does not explicitly exclude alternatives or provide when-not-to-use guidance, but the context is sufficient for an agent to select this tool for current network state requests.

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