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

Adds substantial detail beyond the annotations: results are options only and nothing is saved or applied (clarifying why readOnlyHint=false but destructiveHint=false), and it consumes a daily quota of 30/day. These are exactly the operational traits an agent needs before calling a metered generation tool.

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?

Three tight sentences, front-loaded with what is produced, followed by the non-persistence caveat, quota cost, and the default. 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 no output schema, the description correctly states the return shape ('options only') and the cost/limits. It is nearly complete for a 4-param generation tool, with only the brandId/contentId semantics left to the schema.

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 coverage is 0%, so the description must carry the load. It does explain the objective default ('engagement') and the count cap (up to 3), but leaves brandId's optionality/fallback and contentId's requiredness unstated, so four parameters remain only partially characterized.

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+resource ('Generate AI body suggestions for a content card'), plus scope (up to 3) and inputs used (brand context, memory, references). It implicitly separates itself from siblings like generate_hook_options/generate_caption_options by naming 'body', but the boundary with the sibling generate_scripts ('script development') is not fully drawn.

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 context is implied (generating body copy for an existing content card), but there is no explicit when-to-use/when-not guidance and no routing to the hook/caption/CTA generator siblings. The quota note hints at caution but not at alternative selection.

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