chat_with_vision

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

With no annotations, the description discloses key behaviors: base64 conversion, file type/size limits, and session persistence via the 'session' parameter. It lacks explicit mention of error handling or rate limits, but overall transparency is good.

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 well-structured with a summary line, detailed bullet points in an Args block, and a return statement. Every sentence is informative without redundancy, achieving conciseness without sacrificing 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 no output schema, the description includes the return value. It covers all parameters and constraints, but could mention alternative tools for non-vision tasks. Overall, it provides sufficient context for correct invocation.

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 0%, so the description fully explains each parameter with meaningful descriptions (e.g., 'Local image file paths to analyze'). This adds significant value beyond the schema's bare titles.

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 it analyzes images with a Grok vision model, using the verb 'analyze' and specifying the resource. The name 'chat_with_vision' further distinguishes it from text-only siblings, making the purpose unambiguous.

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 explains that it accepts local paths and URLs, but does not explicitly tell when to use this tool versus alternatives like 'chat' or 'chat_with_files'. Usage context is implied by the vision focus, but no direct guidance is given.

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