ilovevideoeditor_render_template

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

With no annotations provided, the description carries the full burden. It discloses that the tool queues the video for rendering (async) and returns a job ID, which is a key behavioral trait. It does not cover error handling or prerequisites, but the async nature is well conveyed.

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, front-loaded sentence that mentions purpose, process (queueing), and output (job ID). Every word earns its place, achieving high conciseness without omitting essential information.

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?

The tool is simple (2 params) but has no output schema, so the description must explain the return. It says 'return a job ID', which covers that. It lacks guidance on next steps (e.g., use get_render_status to poll), but given the sibling context, the core information is present and sufficient.

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?

The input schema already documents both parameters with clear descriptions (templateId, variables). The description adds minimal parameter-specific value beyond restating 'named template' and 'variables', so with 100% schema coverage, a baseline of 3 is appropriate.

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 specific action: generate a video from a named template with variables, queue it, and return a job ID. This distinguishes it from siblings like render_json (which likely takes raw JSON) and list_templates/get_template (which manage templates).

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: you need a templateId and variables to generate a video. It does not explicitly contrast with the sibling render_json or mention when to choose this over alternatives, so it earns a mid-range score for implied usage.

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