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

Annotations already declare readOnlyHint=true, lowering the bar for safety disclosure. The description adds useful behavioral context (platform scope, Arabic/English support, optional content-type filtering) but omits result ordering, pagination behavior, or failure modes. Consistent with the calibration example, annotations carry the safety profile and the description adds moderate value without contradiction.

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 purpose is front-loaded and the Examples and Args sections are well organized, but the entire English opening is duplicated verbatim in Arabic, roughly doubling length with no additional information for an agent-consuming definition. The bilingual content belongs in the annotation title, not repeated in full.

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 3-parameter tool with an output schema present, the description covers query semantics, language support, filter values, and result caps — enough for correct invocation. Gaps are minor: no pagination or ordering disclosure and no guidance on alternative discovery tools, leaving a slightly incomplete picture for an agent facing the sibling set.

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, and it largely does: the Args section gives content_type real meaning ('VOD' for single videos, 'SERIES' for series only, None for all) that the bare string-or-null schema lacks, and query examples clarify the search term semantics. Only max_results adds little beyond the schema's own default.

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 states a specific verb and resource: 'Search for videos, documentaries, and programs on Al Jazeera 360.' The bilingual search capability and content-type filtering are clearly stated, and concrete examples ('فلسطين', 'غزة', 'الدحيح') make the scope unmistakable. No sibling tool is a search tool, so this is implicitly distinguished from browse_section, get_trending_content, and get_latest_episodes.

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?

Usage is implied through examples and the stated bilingual/filter capabilities, but the description never says when to use this tool versus alternatives such as browse_section or get_trending_content for discovery without a keyword. There is no when-not-to-use guidance or explicit alternative routing, so an agent must infer the selection rule.

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