analyze_content

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

With no annotations provided, the description carries full burden. It fails to disclose whether the operation is read-only, requires specific permissions, response format, or any side effects. The description is too brief to inform an agent about behavioral traits.

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?

Single sentence, efficient and front-loaded. No wasted words. Content is truncated but could be more informative without becoming overly long.

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 should explain what the analysis returns (e.g., scores, suggestions). It fails to mention return format, limits, or how to interpret results. Incomplete for an analysis tool with sibling tools.

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 67% (2/3 parameters have descriptions). The description adds no meaning beyond the schema. The platform parameter has enum values but no explanation; the tool description does not compensate. Baseline 3 is appropriate since schema already conveys most param info.

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 analyzes post content for quality, tone, and suggestions. It specifies a concrete verb and resource, and among siblings like 'improve_content' or 'suggest_hashtags', it distinguishes itself moderately by focusing on analysis rather than generation or improvement.

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 tool versus alternatives. It does not mention prerequisites, limitations, or provide context on typical use cases. Especially given siblings like 'improve_content' and 'suggest_hashtags', explicit usage notes would help.

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