gemini_multimodal_query

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only restates the purpose and examples, without mentioning whether the operation is read-only, any rate limits, or limitations. It also does not disclose output behavior beyond what the schema already indicates. This is a notable gap for a tool that might be used to query potentially sensitive visual content.

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 extremely concise—two sentences that front-load the primary function and then provide examples. Every sentence earns its place, with no wasteful or redundant text.

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 the tool's moderate complexity (5 parameters, 2 required, no output schema) and lack of annotations, the description is adequate but not fully complete. It explains what the tool does and gives use cases, but omits details about output format expectations or any prerequisites. Since all parameter descriptions are present in the schema, the description is minimally viable but leaves the agent with some uncertainty about the return value structure.

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 aligns with the prompt and images parameters by mentioning 'images + text' and 'natural language questions,' and provides concrete examples. However, it does not add any extra meaning about model selection, context, or outputFormat beyond what the schema already documents.

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's function with a specific verb ('Query') and resource ('images + text for multimodal understanding'). It distinguishes itself from siblings by focusing on visual content analysis (designs, diagrams, screenshots), unlike gemini_analyze_content or gemini_search.

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?

Provides clear context by listing example use cases (designs, diagrams, screenshots) and emphasizes 'natural language questions' for visual understanding. However, it does not explicitly state when not to use this tool or name alternatives, so it falls short of a perfect 5.

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