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

Annotations provide readOnlyHint=true, so the read-only nature is disclosed. The description adds context about what the audit checks (short/missing description, missing tags/thumbnails) beyond the annotation, but does not describe the report structure, pagination behavior, or any other operational details. Given the annotation coverage, this is adequate but not exceptional.

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 a clear one-sentence purpose, followed by an Arabic translation, a list of audit criteria, and a well-structured Args section. It is not excessively long, though the Arabic repetition adds some redundancy. Overall, it is efficient and organized.

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 has an output schema, so return values need not be described. The description covers parameters, audit criteria, and the target section. It is missing only minor operational details like pagination behavior beyond parameter defaults, but given the output schema and read-only annotation, it is sufficiently complete for an agent to call it correctly.

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 explain parameters. It does so effectively with an Args section that clarifies section_id (with examples), max_items, page, and page_size, including defaults. This adds meaning beyond the bare schema and enables correct invocation.

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 verb ('audit'), a specific resource ('metadata quality of videos in a section'), and explicitly lists the quality criteria (short/missing description, no tags, no thumbnail). This clearly distinguishes it from sibling tools like run_diagnostics or get_video_details, which serve different purposes.

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 explains what the tool does but offers no guidance on when to use it versus alternatives. It does not mention exclusions, prerequisites, or suggest other tools for related tasks. An agent would have to infer its appropriate use case.

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