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

With no annotations, the description carries the full burden, and it does disclose useful traits: determinism, no network access, and a $0.003 x402 payment requirement. However, it omits error behavior, handling of non-object inputs, and whether array element order is preserved.

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 tight sentences, front-loaded with the core behavior, and the cost/no-network caveats are relevant for a paid x402 tool. Nothing is wasted.

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?

No output schema, no annotations, and 0% parameter documentation leave gaps, but the tool is simple (2 params) and the return format ('canonical compact JSON') is stated. Adequate but not complete for correct invocation of 'reverse' or 'data'.

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?

Schema coverage is 0%: 'data' is untyped with an empty schema and 'reverse' has no description. The description implies data is an object but never states accepted input formats (object vs. JSON string) or what 'reverse' changes (descending keys? reversed output?). With low coverage, the description fails to compensate.

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 gives a precise verb and resource: 'Recursively sort object keys and return canonical compact JSON.' This is intrinsically distinct from siblings like json_flatten, json_repair, and json_schema_validate, though no sibling is named explicitly.

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?

There is no guidance on when to choose this tool over alternatives such as json_flatten or json_repair, nor any prerequisites or exclusions. The agent must infer usage from the verb alone.

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