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

With no annotations provided, the description carries the full burden and does well by disclosing the $0.005 USDC per-call cost, the x402 payment rail, the Solana mainnet requirement, and the Helius DAS data source. It does not cover auth or rate limits, but the cost disclosure is a meaningful behavioral trait beyond a simple 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 front-loaded sentence that packs in the resource, return fields, data source, network, and pricing with zero filler. Every clause contributes useful information.

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 one-parameter read-only tool, this description is complete: the schema covers the input, and the description names the output fields, data source, network, and per-call cost. The absence of an output schema is offset by the explicit field list.

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 covers the single mint parameter at 100%, so the schema already documents that it expects an SPL token mint address in base58. The description adds no parameter-level detail beyond the schema, making the baseline 3 appropriate.

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 identifies the resource as SPL token metadata and enumerates the exact fields returned (name, symbol, decimals, supply, price). It is easily distinguished from sibling tools like get_token_holders or get_token_risk because it focuses specifically on token metadata.

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 does not explicitly name alternatives or exclusion conditions, but it gives clear context: this tool is for retrieving SPL token metadata and pricing. For a focused metadata lookup, that is sufficient guidance; no ambiguity exists about when it applies.

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