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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds genuinely useful behavioral context — template-based rather than LLM-generated — which sets output-quality expectations, but says nothing about return format, limits, or failure modes.

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 compact sentence with no padding, so it is efficient. However the telegraphic 'client and server side from freedailypro' phrasing is vague filler that does not earn its place and slightly obscures the core purpose.

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 3-parameter tool with no output schema and 0% parameter coverage, the description leaves too much unexplained — no notion of what a caption result contains, how topic/platform/tone shape it, or any constraints. Annotations cover safety but not the functional 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 schema gives no prose meaning for topic, platform, or tone. The description mentions none of them, adding zero semantic value; the enums convey allowed values but not intent or interaction between parameters.

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) and resource (social captions) and adds a differentiating trait (template-based, not an LLM). Clear enough for an agent to know what it produces, though it doesn't name a sibling or scope beyond 'social'.

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?

No guidance on when to use this versus alternatives like text_product_description, hashtags, or text_invitation_copy, and no prerequisites or input requirements stated. The 'template-based, not an LLM' note hints at expected output style but does not tell the agent when to select this tool.

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