gemini_analyze_content

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

With no annotations, the description carries the burden of behavioral disclosure. It adds value by mentioning auto-detection and parallel call support, but it does not describe return structures, limitations, or any side effects. This is acceptable for a read-like analysis tool but not comprehensive.

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?

The description is compact and front-loaded, with the first sentence immediately stating the core function. The additional tip about parallel calls is useful and does not add fluff. Every sentence serves a 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?

The tool has 8 parameters, no annotations, and no output schema, so the description needs to cover a lot. It handles the main functionality and input methods, but omits output format behavior or return value expectations. Given the complexity, this is a clear gap, making the description adequate but not complete.

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 100%, so the baseline is 3. The description adds meaning by consolidating the task list, explaining the file path vs. direct content input, and highlighting auto-detection of type and language, which complements the schema. This goes slightly beyond the schema's individual descriptions.

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 code, documents, or data and lists specific tasks (summarization, code review, etc.), making the primary purpose evident. However, it does not explicitly distinguish this from the sibling tool gemini_analyze_codebase, so the differentiation is not fully articulated.

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 provides clear usage context by mentioning support for file path or direct content input and auto-detection of content type and language. It also includes a practical tip about parallel calls. However, it lacks explicit 'when not to use' guidance or alternative tool mentions, so it stops short of full usage guidelines.

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