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

No annotations are provided, so the description carries the full behavioral burden. It discloses the output count (3 suggestions) but says nothing about credit consumption (a check_credits sibling exists), whether anything is posted or persisted, latency, or what happens when optional inputs are omitted.

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?

A single front-loaded sentence with no filler or redundancy. It is efficient, though extremely terse given the absent annotations and output schema.

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?

Two simple optional parameters and no nested objects keep the tool low-complexity, and the description implies a text output of three captions. However, with no annotations and no output schema, it should say more about what the three suggestions look like and whether inputs are required.

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 100%, with both hookText and productContext clearly documented in the schema, so the baseline is 3. The description adds no format, length, or tone guidance for either parameter, so it does not exceed 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 (Generate), resource (social media caption suggestions), quantity (3), and domain constraint (for a UGC video). No sibling tool overlaps on captions, so differentiation is implicit rather than explicit, which keeps it just short of a 5.

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?

There is no when-to-use guidance, no statement of prerequisites, and no alternative named among siblings like enhance_prompt or remix_hook. Usage is only inferable from the tool name and description.

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