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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful scale context (39 prompts, 6 categories) but says nothing about pagination, ordering, or what happens when filters match nothing.

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?

Two short sentences, zero filler, with the resource and its scope front-loaded. Nothing needs to be trimmed.

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 zero-required-param read-only list tool with full schema coverage and annotations covering safety, this is nearly sufficient. The only missing piece is what a returned prompt entry looks like, which matters since there is no output schema.

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%, so the baseline is 3. The description contributes only indirectly: knowing there are exactly 6 categories signals the filter domain, but the actual category values are not enumerated anywhere (no enums in schema). Severity levels are already listed in the schema itself.

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?

States a specific verb (browse/list) and resource (adversarial prompt library) and quantifies the contents: 39 prompts across 6 categories for testing AI agent safety. This clearly distinguishes it as the read-only catalog tool, though it never names the sibling run_adversarial_eval that consumes these prompts.

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 'browse the library' framing implies discovery-before-execution usage, but there is no explicit statement of when to call this versus run_adversarial_eval or how the category/severity filters should be chosen. Usage is inferable but not guided.

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