image_analysis

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

The description discloses the output includes image content, text, colors, layout, and context clues, which is helpful. However, with no annotations, it lacks details on limitations, error handling, or whether it handles all image types. Some transparency 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?

Two concise sentences, front-loaded with action and followed by output summary. No wasted words; efficient and clear.

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 or annotations, the description adequately covers the tool's purpose and output. It explains what the tool returns and accepts. Could include more detail on edge cases but sufficient for a general analysis tool.

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 description adds no new parameter semantics. It repeats the general purpose but does not elaborate on parameter syntax or constraints beyond what the schema already provides.

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 any image with a general vision model and returns a detailed description. It is specific about verb and resource, but does not explicitly differentiate from sibling tools that are more specialized.

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. The description does not mention context for choosing image_analysis over specialized siblings like diagnose_error_screenshot or extract_text_from_screenshot.

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