generate_caption

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

No annotations provided, so the description carries the burden. It states the tool generates captions via AI, indicating a read-only or creation action with no destructive side effects. However, it does not explicitly confirm non-modification or other behavioral traits like rate limiting or auth needs.

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?

Two sentences, front-loaded with primary action ('Generate an AI-powered social media caption'), no redundancy. Efficient but could be improved with slight structural clarity.

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?

Given five well-documented parameters, an output schema (not shown but present), and related sibling tools, the description covers core functionality. Missing details like platform-specific behavior are acceptable, and output schema handles return values.

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%, so parameters are well-documented. The description adds minimal extra meaning ('Supports Turkish and English, multiple tones') which is already covered by enums in the schema. Baseline of 3 is appropriate.

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?

The description clearly states the tool generates AI-powered social media captions and mentions platform optimization, language, and tone support. It implicitly differentiates from sibling 'generate_hashtags' but does not explicitly contrast with other related tools like 'create_social_post'.

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 description implies when to use (for generating captions) but provides no guidance on when not to use or alternatives. Compared to siblings like 'generate_hashtags' or 'create_social_post', context is missing.

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