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

Annotations already declare readOnly/idempotent safety, and the description adds substantial behavior beyond them: 200-row per-level truncation, truncated=true semantics, count as the full number, parent_paused=true meaning, and that REMOVED entities are excluded. These are exactly the operational details an agent needs to interpret results correctly.

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?

Front-loaded with what is counted, then layered with the truncation, parent_paused, and REMOVED constraints in tight clauses. Every sentence carries distinct information; nothing is boilerplate.

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 explain the return shape, and it does: id/name per entity, per-level row cap, truncated flag, full count, and parent_paused. Nothing needed to interpret the response or call the tool is missing.

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?

With one parameter and 100% schema description coverage, the schema already documents customer_id with format and source (get_accounts). The description adds no parameter-level meaning, so the baseline 3 for high schema coverage 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 (counts) and precise resource set (paused campaigns, ad groups, keywords, ads), including the Google-notation caveat for keywords. It clearly distinguishes itself from sibling list tools like get_campaigns and get_keywords, which return all entities rather than only paused ones.

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?

The final sentence gives an explicit when-to-use: 'Use this before enable everything that is paused.' That is a clear workflow context, but no explicit alternative or exclusion is named, so it falls short of a full when/when-not/alternative statement.

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