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

With no annotations, the description carries the behavioral disclosure burden. It conveys the search scope and returned fields, and the verb 'search' implies a read-only operation, but it does not state result ordering, pagination, or any operational caveats.

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?

One sentence that front-loads the action and resource, with no filler or repetition. The result-content clause is informative and compact.

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 simple two-parameter search tool, the description covers the main purpose and result fields, but with no output schema it does not explicitly say the response is a list or how results are ordered/limited beyond the schema default. That leaves minor but real gaps.

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 100%: query is documented as 'Tool name or category' and limit as 'Max results, default 10'. The description adds no additional parameter-level meaning, so it stays at the baseline 3.

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 identifies a clear action ('Search') and a specific resource ('No-Code Exits tool directory'), and it enumerates the result content (purpose, pricing, learning curve). It does not explicitly contrast sibling tools, so an agent must infer the distinction from the 'tool directory' scope.

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 gives enough context that an agent would use this to find tool information, but it never states when not to use it or names alternatives like search_exit_stories or get_daily_picks. The 'when to use' is only implied by the tool-directory phrasing.

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