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

No annotations provided, so the description carries the full burden. It discloses multiple behavioral traits: 'AI Studio run — dispatches to our AI workers', 'Files are deleted after processing', 'auditable at mioffice.ai/account/tasks', and no per-workspace subscription. This goes beyond typical tool descriptions. Missing details like failure behavior or response format, but the depth is solid.

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 front-loaded with the primary purpose, followed by important operational and billing details. Each sentence adds relevant information: dispatch mechanism, credit variation, exclusions, file deletion, audit trail, subscription model. It is a bit long but not wasteful; the structure is logical.

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 description thoroughly covers operational context: AI worker dispatch, credit costs, file deletion, auditability, and pricing. However, with no output schema and no parameters, it omits what the agent should expect back (e.g., processed image URL) and how to provide input. These are significant gaps for a zero-param tool, leaving the description incomplete.

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 has 0 parameters, so the baseline is 4. The description doesn't need to explain parameters that don't exist. However, it doesn't clarify how the image is provided (e.g., file upload), but that is not strictly parameter semantics. Given no params, the description gives adequate value.

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 'Enhance and restore faces in photos using AI — sharpen details, fix blur, improve quality.' This is a specific verb and resource ('faces in photos'), and it distinguishes the tool from sibling photo tools like photo_restorer or upscale_pro by focusing on faces and restoration. The opening line is unambiguous about the tool's core function.

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 explicit guidance on when to use this tool versus alternatives. The description mentions cost and credit constraints ('Credits per run vary', 'Day Pass... do not include AI Studio') but does not compare to photo_restorer, upscale_pro, or other face-related tools. With many sibling tools, this leaves the agent without selection criteria.

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