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

With no annotations, the description carries full behavioral disclosure. It signals a read-only operation and describes the return contents in detail: fields, source page, reader, state, CUVEE, claim status, and signed JWS. It does not cover error/not-found behavior, but that is a minor gap.

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?

A single tight sentence front-loads the core action and identifier, then uses semicolons to enumerate the returned contents. No wasted words or repeated schema 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 simple one-parameter read operation with no output schema, the description gives a solid inventory of returned data. The only notable gap is the lack of record_id format guidance, but the overall tool contract is clear enough for correct invocation.

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%, so the description must explain the parameter. It only restates the parameter name ('by record_id') without describing its format, origins, or accepted value types. An agent still has to infer what a valid record_id looks like.

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 names a specific verb ('Read'), a specific resource ('one product in full'), and a lookup key ('record_id'). It also lists the exact content returned, making it clearly distinct from siblings like search_drinks or list_nodes.

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 clearly implies when to use this tool: when you have a known record_id and need complete product detail. It does not explicitly state when to prefer alternatives, but the 'one product by record_id' framing provides sufficient context.

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