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

Annotations only declare readOnlyHint=false, destructiveHint=false and idempotentHint=false. The description adds real behavioral context beyond that: nothing is saved/applied, and it consumes a daily quota of 30/day, which explains the non-readOnly hint. Return format is not described, but no output schema exists to carry it either.

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 short sentences, front-loaded with the core action and side effects, with zero filler. Every sentence carries a distinct piece of information.

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 4-param generation tool with no output schema, the description covers what the tool does, that it persists nothing, and its quota cost. It leaves the returned option shape and the optional brandId/contentId relationship unspecified, a minor gap.

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%, so the description must compensate and it only partially does: it clarifies 'count' (max 3) and that 'objective' defaults to engagement, but says nothing about brandId or contentId semantics beyond the implicit 'content card' reference. Baseline 3 for partial compensation.

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 ('Generate'), resource ('call-to-action suggestions'), scope ('up to 3'), and the input basis ('for a content card, using the brand's context, memory and references'). This cleanly separates it from siblings like generate_caption_options, generate_hook_options and generate_body_options.

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?

Provides clear context ('Returns options only; nothing is saved or applied') which tells the agent this is a non-persisting preview step rather than a content mutation. It does not, however, explicitly route the agent to or away from a named alternative sibling.

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