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

With no annotations, the description carries the full burden and discloses meaningful traits: the ranking logic (importance via AI-rating with heuristic fallback, then recency), hard caps (days max 30, per_platform max 10), and a caveat to read source_url before acting. It omits error/empty-result behavior and permission needs, keeping it just short of top marks.

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?

Extremely compact and front-loaded: purpose first, then parameters, then ranking and a caveat. Every sentence carries information with no filler.

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 tool with no output schema, no annotations, and an undocumented schema, the description covers inputs, ranking, limits, and a safety caveat well. It stops short of describing the return shape beyond 'short ranked overview ... grouped by platform', so an agent gets limited signal on response structure.

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 coverage is 0% and the schema has no descriptions or enums, yet the description documents all three parameters: the exact valid platform values, the days look-back window with its max, and per_platform with its max. This adds substantial meaning the structured fields entirely lack.

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 gives a specific verb+resource: a short ranked overview of the most important recent changes grouped by platform. It does not explicitly differentiate itself from siblings like recent_changes or search_changes, so an agent must infer the distinction from 'Best first call'.

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?

'Best first call' is a clear, actionable directive that tells the agent when this tool should be used relative to others. However, it names no alternative and gives no exclusion conditions (e.g., when to fall back to recent_changes or search_changes).

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