AI Watercolor Generator

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

With no annotations, the description carries the full burden of behavioral disclosure. It only reveals that the operation is asynchronous and that URLs must be trusted; it does not mention side effects, return values, polling requirements, failure modes, or what happens to the uploaded images.

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?

A single efficient sentence that front-loads the most important fact (asynchronous submission) without filler. It is appropriately short, though it sacrifices substance for brevity.

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 6-parameter, asynchronous tool with no output schema and no annotations, this description is far from complete. An agent cannot determine the response format, how to retrieve the result, or what constraints or defaults apply to the parameters.

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, but it only hints at input_images by saying 'trusted uploaded image URLs'. No additional meaning is provided for prompt, model, resolution, aspect_ratio, or idempotency_key.

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 states a specific action ('Submit'), a clear resource ('watercolor edit'), and key qualifiers ('asynchronous', 'trusted uploaded image URLs'). It does not explicitly contrast with sibling tools, but the edit/submit versus generate/retrieve distinction is reasonably inferable.

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 is given for when to use this tool versus generate_watercolor or get_watercolor_task. The word 'Submit' implies this starts a job, but the agent is never told to poll with get_watercolor_task or that generate_watercolor is the choice when no existing images are being edited.

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

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

With no annotations, the description must fully disclose behavioral traits. It does disclose that the task is asynchronous, which is a key behavior. However, it does not mention what the submission returns (e.g., a task ID), how to poll for completion, or any side effects or required permissions. The single-sentence description leaves most behavioral expectations unstated.

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 extremely concise and front-loaded, which is good for structure. However, it is under-specified to the point of being nearly useless for decision-making. A single sentence that conveys only the verb and resource is appropriately short but sacrifices necessary detail. It is not verbose, but it fails to earn its place by adding actionable 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?

Given 5 parameters (1 required), no output schema, no annotations, and no parameter descriptions in the schema, the description is grossly inadequate. It does not explain how to construct a request, what response to expect, how the asynchronous flow works, or how this tool fits into the workflow with the siblings. An agent would be left guessing on nearly every aspect of using this 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?

The schema has 0% description coverage, and the tool description provides no parameter information whatsoever. It does not mention the prompt, model, resolution, aspect ratio, or idempotency key. The description adds zero value beyond the raw schema, which itself has no descriptions, so the agent gets no help understanding parameter semantics.

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 states a clear action ('Submit') and a specific resource ('watercolor image generation task'). It effectively distinguishes this as a generation-start operation, and the naming differs from siblings (edit_watercolor, get_watercolor_task). However, it doesn't explicitly contrast with those siblings, so it gets a 4 instead of 5.

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 is provided on when to use this tool versus the siblings. It doesn't say 'use get_watercolor_task to retrieve the result' or 'use edit_watercolor to modify an existing image.' The asynchronous nature implies a follow-up step, but that is not articulated. Usage context is entirely absent.

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

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

With no annotations provided, the description carries the full burden. It implies a read-only operation ('Get') but does not explicitly state that it is non-destructive or that it does not modify the task. It also fails to mention error behavior (e.g., unknown task_id) or whether the call may return partial output while the task is still processing. These gaps are significant given the absence of annotation support.

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 with no wasted words. It efficiently states the core operation. However, it is so sparse that it borders on under-specification, though conciseness itself is good.

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 (one parameter, no nested objects) but the description is incomplete. It does not explain what 'status and output' mean, whether an output image is returned or just a status code, or how the task_id should be acquired. With no output schema and no annotations, the description should provide more context but leaves essential details ambiguous.

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% and the description provides no information about the single parameter 'task_id'. The description does not explain that 'task_id' is the identifier returned by generate_watercolor, nor how to obtain or validate it. For a schema with zero coverage, the description must compensate, and it completely fails to do so.

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 action ('Get') and the resource ('current status and output of a watercolor image task'). It is easily distinguished from siblings 'generate_watercolor' and 'edit_watercolor', though it does not explicitly name them. A more explicit contrast with sibling tools would earn a 5.

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 provides no guidance on when to use this tool versus alternatives. It does not mention that this tool is typically called after generate_watercolor or edit_watercolor to monitor progress, nor does it state that it is a polling/status-check operation. Usage context is entirely left to inference.

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