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

With no annotations available, the description carries the behavioral burden. It discloses that the tool does not perform an on-chain lookup (it works on data you already have) and that its output is a plain-language explanation, which conveys the core behavior for a stateless read/explain operation. It omits edge-case behaviors like error handling or validation, but these are secondary for this simple 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 sentence that leads with the action and object, then appends the key usage qualifier ('when you already have the data...'). There is no redundant wording or filler, though the sentence is longer than necessary and could be split for emphasis.

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?

The definition covers the core what and when but leaves out any mention of payload constraints, expected output format beyond 'plain language,' or behavior on invalid input. Since there is no output schema, slightly more detail about what the explanation contains would improve completeness, but the tool is simple and mostly self-explanatory.

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 already documents the single 'data' parameter at 100% coverage, describing it as an arbitrary approval/permission JSON payload. The tool description adds no additional parameter-level detail, so the schema does the heavy lifting; baseline 3 applies.

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 uses a specific verb ('Explain') and a clear resource ('arbitrary approval/permission JSON payload') and distinguishes this tool from the sibling check_wallet_approvals by noting it applies when you already have the data rather than needing an on-chain lookup. This is enough for an agent to identify what the tool does and separate it from the alternative.

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 definition explicitly frames when to use the tool: 'when you already have the data instead of needing an on-chain lookup,' which implies the alternative scenario belongs to check_wallet_approvals. It does not name the sibling tool or provide a full when-not-to-use list, but the context is clear.

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