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

No annotations are provided, so the description carries the full burden. It discloses the key behavioral fact of a $0.005 USDC cost per call and the payment mechanism (x402 on Solana mainnet), which is important for an agent deciding whether to invoke the tool. It also enumerates the returned data. It does not discuss side effects, but the 'get' name and network-health framing imply a read-only 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 compact sentence that front-loads the purpose, then lists concrete output examples, then adds the cost caveat. Every part earns its place with no repetition or filler.

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 zero-parameter tool without an output schema, the description is complete: it states what the tool provides, includes representative return fields, and flags the cost. An agent has everything needed to select and invoke it correctly.

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, so the schema fully describes the input. The description adds value by clarifying the output fields, which is the relevant semantic content for this parameterless tool.

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 resource (Solana network health) and the specific metrics returned (average TPS, current slot, epoch, epoch progress). This distinguishes it from siblings like get_sol_price or get_basis, which target different data domains.

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 makes the use case clear: retrieving Solana network health metrics. It does not explicitly mention alternatives or when not to use it, but the metric list and 'network health' framing provide sufficient context for tool selection.

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