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

With no annotations, the description carries the full burden and does well: it discloses error behavior on malformed input, explicitly excludes repair/validation, and states cost (5000 atomic USDC) plus the payment-authorization prerequisite. It omits return format and the 3500-character input ceiling, but the cost/auth disclosure is genuinely valuable context.

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?

Three short sentences, none wasted: the core operation is front-loaded, followed by failure semantics and payment terms. Every sentence 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 single-parameter tool with no annotations and no output schema, the description covers behavior, error modes, and payment requirements. The main gap is the return value shape (it only implies a normalized JSON result) and the input length limit, but overall it is nearly sufficient to invoke 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?

There is one parameter with 0% schema description coverage, and the description never addresses it. 'Parse JSON' only weakly implies the input is a JSON string, which the schema type already states. Nothing is said about the minLength/maxLength (3500) constraint or accepted format, so the description fails to compensate for the coverage gap.

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 states a specific verb and resource: 'Parse JSON and sort object keys recursively.' Recursive key sorting is clearly distinct from json_csv_convert and url_normalize. However, it does not explicitly name a sibling or contrast its role, so it lands at 4 rather than 5.

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?

It gives a boundary condition ('Returns an error for malformed JSON; no schema repair or semantic validation'), which implicitly routes agents away when they need validation or repair. But it never names an alternative tool or states when to prefer this over json_csv_convert or a validator. Usage is implied, not directed.

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