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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful algorithmic context — it picks the *slowest* adequate standard charger and reports aggregate load — but says nothing about assumptions, edge cases, or failure conditions.

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 well-formed sentence that front-loads the primary output and appends the secondary one. It is dense but free of filler; a slightly clearer split of the two outputs would be marginally better.

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?

There is no output schema, so the description must convey the return content — it does describe both the recommended charger and the bay load. What remains thin is the boundary against sibling tools and the meaning of 'standard charger' tiers.

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 three parameters are already documented. The description gestures at 'wanted miles', 'typical stay', and 'every bay', which only loosely paraphrases the schema rather than adding units, ranges, or constraints. 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?

The description names a specific verb ('suggests') and resource ('slowest standard charger') plus a secondary output ('total load'), so the agent knows exactly what is computed. It is distinguishable from siblings like charging_time, though it never names them explicitly to route the choice.

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?

Use context is implied by the inputs (dwell time, miles wanted, bays) — clearly a sizing/planning tool — but there is no explicit when-to-use, when-not-to-use, or comparison against siblings such as charging_time or area_charging_facts. The agent must infer the scenario.

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