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

Annotations already declare readOnly, idempotent, non-open-world and non-destructive, so the safety profile is covered structurally. The description adds a genuine guarantee beyond them: 'No provider credentials or raw unbounded configuration are returned,' which tells the agent the read is bounded and safe to surface. It stops short of describing auth prerequisites or failure modes.

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?

Two tight sentences with zero waste. The returned-fields list is front-loaded and the negative guarantee follows immediately; nothing is padding.

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?

With no output schema, the description carries the return-value burden and does so by enumerating the fields the agent will get. Combined with annotation-covered safety and a zero-arg schema, this is nearly complete; only the scoping of 'selected product' (how it is selected) is left implicit.

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 tool takes zero parameters, so the baseline is 4 per the rubric. The description correctly implies the read is scoped to an ambient 'selected product' rather than an id argument, matching the empty schema.

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?

States a specific verb (read) and resource (selected product's context) and enumerates the concrete fields returned: name, site, description, ICP summary, language, Product Brain availability, dashboard link. That is far more than a restatement of the name. It stops short of naming a sibling it is distinct from, which keeps it at 4.

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 explicit when-to-use statement or comparison against siblings like get_lead or get_analytics. Usage is only implied by the phrase 'the selected product's', which signals it operates on an ambient/current product rather than an id-supplied one. Adequate but leaves the agent to infer context.

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