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

Annotations already declare readOnlyHint, idempotentHint and non-destructive, so 'Read-only.' is largely a restatement of structured data. The useful addition is that the result is an aggregate summary across four metrics, but the description does not address aggregation scope (all-time vs. period) — with annotations covering the safety profile, this is an adequate-not-rich disclosure.

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 short sentences, front-loaded with the invocation cue and then the payload contents. Every clause carries information; no filler.

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 an output schema present and zero parameters, the description need only convey intent and scope, which it does. The only residual gap is that 'total scans' and 'users' are not qualified by time window or workspace scope, which could matter for a summary 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?

The tool takes zero parameters, so there is no parameter ambiguity to resolve; baseline is 4. Nothing in the description contradicts or complicates 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 and resource ('get_account_overview' → overview of the account) and enumerates the metrics returned (projects, QR codes, total scans, users), which distinguishes it in substance from detail-oriented siblings like get_total_scans or get_account_activity. It stops short of naming any sibling explicitly, so the differentiation is implicit rather than stated.

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 this when the user wants a quick overview' gives a clear trigger condition and the word 'quick' signals this is the summary entry point rather than a deep-dive. No explicit when-not or named alternative (e.g. get_account_activity, get_account_scans) is given.

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