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

Annotations already declare the write/safety profile (readOnly=false, destructive=false, idempotent=false). The description adds genuinely new behavior: the operation is free (no credits), targetAudience is auto-derived if omitted, and the call returns the new brand's id. It could say more about what happens on duplicate names or failure, hence 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?

Four tight sentences, no filler; the core action and its precondition are front-loaded, and the return-value handoff to generate_snacks closes it usefully.

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 10-param mutation with no output schema, the description covers the essentials an agent needs to call it correctly: cost, a key default, and the shape of the return (brand id). It leaves several optional params unexplained, but those carry types/limits in the schema and are not required for a correct call.

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 0% across 10 params, so the description carries a heavier burden. It compensates for two of them well – `description` must be a few sentences because short ones hurt content quality, and `targetAudience` is derived when omitted – but says nothing about language, industry, screenshots, appDemos, or the required-set nuance. Partial compensation at the baseline.

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 ('Register') and resource ('brand'), clarifies the domain concept ('one of your end-customers'), and conditions it ('when none of the existing brands fit'), which cleanly distinguishes it from get_brand, update_brand, and list_brands.

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?

'when none of the existing brands fit' tells the agent the precondition for using this over the read/list siblings, and the closing clause names the downstream consumer (generate_snacks). It stops short of explicitly telling the agent to call list_brands first, so it's clear context rather than a full decision rule.

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