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

Beyond the annotations, the description adds a meaningful behavioral consequence: 'Counts against storage.' It also clarifies that no AI processing occurs, which is a non-obvious behavioral trait. The write nature is implied by 'imports' and consistent with the annotations, so there is no contradiction.

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 sentence that packs the essential facts—remote URL import, project timeline destination, no AI, and storage cost—without redundant wording. It is front-loaded with the core action and resource.

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?

For a simple import operation, the description covers the core semantics and storage impact, but it omits any mention of return values, error handling, or the meaning of the optional name parameter. Since there is no output schema, some expectation-setting about the result would improve completeness.

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 0%, so the description must compensate for undocumented parameters. It partially explains 'url' via 'remote image (by url)' and 'project_id' via 'into a project timeline,' but the optional 'name' parameter is entirely unexplained, leaving a meaningful gap for an agent.

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 identifies the action (imports), the resource type (remote image by url), and the destination (project timeline), while explicitly noting 'no AI' to distinguish it from generation tools. This makes it immediately distinguishable from siblings like upload_asset and generate_image.

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 phrase 'remote image (by url)' gives clear usage context: this tool is for importing existing remote images, not for generating or uploading local files. It does not explicitly name alternatives like upload_asset, but the operative context is clear enough for an agent to select it correctly.

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