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

Beyond annotations, the description discloses the paid nature ('500 micro-dollar service credits per successful call'), the prerequisite preparation step, the auth requirement, and that a new requestId creates a new billable operation. This materially extends the idempotentHint and gives the agent important cost and recovery behavior.

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 compact and front-loaded: purpose, cost, prerequisite, auth, and recovery each get exactly one clear sentence. There is no filler, and every clause contributes operational 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?

The description covers purpose, cost, prerequisites, auth, and recovery behavior. Because an output schema exists and the input schema documents parameters, the description does not need to explain return shapes or full input details. It is complete for an agent deciding whether and how to invoke the tool.

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 67%, and the description augments it by explaining that requestId reuse is for recovery and that a new requestId is a new billable operation. It also ties 'bounded changes' to the maxChanges concept in the input schema, adding value beyond the raw parameter definitions.

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 opens with a specific verb and resource: 'Compare JSON structures and return bounded changes at JSON Pointer paths.' This clearly states what the tool does and its output style, and is distinct enough from siblings like data_json_patch or data_json_pointer that an agent can identify the correct operation.

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 gives concrete usage context: 'First use agent_utilities_prepare for this tool,' requires existing credits and a private Authorization header, and instructs reusing prepared arguments for recovery. It does not explicitly name alternatives or exclusions, but the preparation and recovery guidance is strong enough for an agent to call it correctly.

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