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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world scope, so the safety profile is covered. The description adds genuinely new behavioral context by stating what comes back ('each series with its product page and documents'), which matters because there is no output schema; it does not mention pagination or empty-result behavior, so not a 5.

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 sentences, zero filler: the first front-loads the searchable dimensions, the second states the return contents. Every clause carries information an agent needs to construct a call.

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 5-parameter, all-optional lookup with no output schema and full schema coverage, the description covers what can be filtered and what comes back. It stops short of explaining filter combination semantics or result-size limits, which is a minor but real gap for a discovery 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 description coverage is 100%, so all five parameters are already documented with examples, and the description largely repeats those same value lists (VRLA gel, AGM, 2 V, 6 V, telecom, UPS). It adds no information about how multiple filters combine or whether the optional 'text' and 'include_discontinued' params interact with the others, so the baseline 3 applies.

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 and resource ('Find a stationary battery or product series that Oxbox Energy offers') and enumerates the three filter dimensions plus the return contents. It does not differentiate itself from the sibling tool 'search', so the agent cannot tell from the description alone which one to pick when looking for a product.

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?

Usage is implied by the enumerated filter axes: use this when you know a chemistry, voltage or application. There is no explicit when-not guidance and no routing to alternatives such as 'search', 'fetch' or 'sizing_tool', leaving the agent to infer the boundary with the generic search sibling.

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