analyze_image_url

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

With no annotations provided, the description must fully disclose behavioral traits. It mentions the input (URL) and the output (vision model recognition result), but fails to disclose potential side effects like network fetching of the URL, authentication requirements, rate limits, or error behaviors. This leaves significant behavioral ambiguity for a tool that involves remote resources.

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 a single, concise sentence that directly states the tool's action and result. It is front-loaded with the primary purpose ('analyze a remote image') and avoids any extraneous details. Every word contributes to understanding the tool's core function.

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 lack of an output schema and the presence of sibling tools that suggest ambiguity, the description is underspecified. It does not explain the return format in detail, provide usage guidelines, or differentiate when to use this tool over analyze_image/analyze_images. For a six-parameter tool without annotations, this is insufficient context.

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 description coverage is 100%, so all six parameters are already documented in the schema. The description adds no additional semantic information beyond what the schema provides, such as parameter relationships or usage examples. Baseline of 3 is appropriate since the schema carries the full parameter documentation burden.

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 (analyze) and resource (remote image via URL), and explicitly mentions the input format (http/https URL). It distinguishes itself from sibling tools like analyze_image by specifying 'remote' and 'via URL', making its purpose unique and 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 implies usage for remote images passed via URL, but it does not explicitly state when to use this tool versus its siblings (analyze_image, analyze_images) or provide any exclusions. There is no explicit guidance on alternatives, leaving the selection partially inferred from the purpose rather than clearly documented.

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