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

With no annotations, the description carries the full behavioral burden, yet it only mentions that a "SaaS video policy validation" occurs. It omits whether the call is synchronous or returns a job id (the get_job_status/get_job_result siblings suggest async), whether credits are consumed (purchase_credits/get_pricing_policy siblings), what the key_index/key_name pair authorizes, and what restoration reverses.

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 core action is front-loaded in the first sentence, and the follow-on paragraph is short and non-redundant. The final sentence about face is somewhat long-winded but does carry decision-relevant content, so waste is minimal.

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?

An output schema exists so return values needn't be explained, but for an 8-parameter, no-annotation, credit-consuming media job the description is far too thin: key handling, restoration semantics, and job/credit behavior are all absent. It covers only the target-object policy, leaving most invocation risk unaddressed.

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% across 8 parameters, so the description must compensate, and it only covers the accepted values of target_objects (body, face, car). Four required parameters (file_path, file_name, key_index, key_name) and behaviorally significant optional ones (restoration, encrypt_object_label, file_type) get no explanation at all.

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 opening sentence names a specific verb and resource ("One-shot video anonymization") and adds scope detail ("with SaaS video policy validation"), so an agent immediately knows this is a single-call video redaction tool. It implicitly separates itself from chained detect/blur tools and from the image sibling, but never names encrypt_image or submit_encrypt_job directly, which keeps it short of 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 does give real selection guidance, but only for one parameter value: "Use face when the goal is a single-call workflow ... rather than chaining separate detect and blur tools." It says nothing about when to choose encrypt_video over encrypt_image, or over the submit_encrypt_job + get_job_status job flow implied by the sibling list.

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