generate-image-from-studio

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 mentions automatic URL mapping and template ID/name flexibility, which adds some context. However, it lacks critical behavioral details such as whether this is a read-only or mutation operation, potential rate limits, error handling, or what happens when data modifications fail. For a tool that generates images with multiple parameters, this is insufficient.

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 appropriately concise with two sentences that front-load the core purpose. The first sentence covers the main functionality, and the second adds useful clarification about template identification. There's no wasted text, though it could be slightly more structured for 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 the tool's complexity (6 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain what the tool returns (e.g., image data, error responses), behavioral constraints, or how it differs from sibling tools. While the schema covers parameters well, the overall context for an AI agent to use this tool effectively is lacking.

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 the schema already documents all 6 parameters thoroughly. The description adds minimal value beyond the schema by mentioning 'Automatically maps URLs to appropriate image fields' (hinting at data parameter usage) and 'template ID (numeric) or template name' (clarifying templateId). This meets the baseline of 3 since the schema does the heavy lifting, but the description doesn't significantly enhance parameter understanding.

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 purpose: 'Generate an image from an Orshot Studio template using specified data modifications.' It specifies the verb ('Generate'), resource ('image from an Orshot Studio template'), and mechanism ('using specified data modifications'). However, it doesn't explicitly differentiate from sibling tools like 'generate-image' or 'generate-image-from-library' beyond mentioning 'Studio template'.

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 context by specifying 'Orshot Studio template' and mentioning template ID or name, which suggests when to use this tool. However, it doesn't provide explicit guidance on when to choose this over alternatives like 'generate-image' or 'generate-image-from-library', nor does it mention any prerequisites or exclusions beyond the optional API key.

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