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

No annotations are provided, so the description carries the full burden of behavioral disclosure. Instead of explaining whether invocation generates a reply, returns a prompt pack, mutates state, or requires permissions, it only says the pack "Includes the complete prompt, usage guide, and edge-case handling," leaving the tool's behavior opaque.

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 short but front-loads generic marketing ("Turn expertise into output") and closes with packaging language rather than operational details. Sentences like "produce professional results in minutes" do not help an agent select or invoke the tool.

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 reply tool surrounded by many recruit-* and *-reply-tool siblings, with no annotations and no output schema, the description should clarify purpose, output, and selection criteria. It only identifies the tool as a prompt pack and omits the operational detail needed to use it correctly.

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?

The schema has one optional parameter with 100% description coverage, so the schema already defines the query. The description adds no meaning about how the query scopes the analysis or what format it should take, so it neither helps nor harms beyond the baseline.

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 says "Turn expertise into output" and that the "prompt pack helps restaurant and brand teams produce professional results," but it never states the actual operation or what a "recruit reply" is. It largely restates the tool name in marketing language and does not distinguish this tool from siblings like recruit-gen-tool, recruit-write-tool, or other reply tools.

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 no guidance on when to use this tool versus alternatives. It only names an audience ("restaurant and brand teams") and offers no exclusions, prerequisites, or sibling comparisons.

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