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

With no annotations provided, the description carries the behavioral disclosure burden. It transparently states a 100-credit cost and internal polling latency of 30-60 seconds, which are critical operational traits. However, it does not mention return behavior, error conditions, or any side effects beyond cost/time.

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 three short, front-loaded sentences, each providing distinct valuable information: what it does, cost, and polling behavior. There is zero wasted text.

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 description covers cost and latency, which is important for a paid, slow operation. However, there is no output schema and the description does not explain what the tool returns (e.g., matching content list, metadata, ranking). Given the tool's complexity, this is a noticeable gap.

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?

Input schema coverage is 100%, and all parameters have useful descriptions and enums. The tool description adds no additional parameter semantics, so the baseline score of 3 is appropriate.

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 clearly identifies the tool as 'AI-powered content discovery', which communicates a search/discovery operation. It is unique among siblings (no other search tool exists), though it lacks a strong explicit verb like 'search for' or 'find'.

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 operational constraints (100 credits, 30-60s polling) but provides no explicit guidance on when to use this tool versus alternatives, nor when not to use it. The cost/time implications imply 'use sparingly', but no alternative tools are mentioned.

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