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

With no annotations, the description carries the full behavioral burden, yet it discloses nothing about what the tool actually does at runtime, what it returns, or whether it is read-only or mutating. Marketing claims like "30-day support promise" and "no prompt engineering needed" convey no operational behavior.

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?

Three short sentences, but they are sales copy rather than specification, and the leading clause about a restaurant/brand intelligence pack is both wasted and actively misleading. The useful information is buried or absent, not front-loaded.

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 one-optional-parameter tool with no output schema and no annotations, the definition should at least say what artifact the caller receives (a prompt kit? an audit report?) and when to pick it over the many resume-* siblings. It instead leaves the domain and output undefined.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already explains its purpose and the baseline of 3 applies. The description adds no meaning about how "query" scopes the analysis.

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 restates the name ("generate a ready-to-use resume audit tool workflow") rather than stating a concrete verb and resource, and it opens with "AI-powered restaurant & brand intelligence pack," which contradicts the resume-audit name. Nothing distinguishes it from the large family of resume-* siblings such as resume-check-tool, resume-gen-tool, or resume-optimizer.

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?

There is no when-to-use instruction, no prerequisites, and no mention of alternatives despite dozens of overlapping resume-* tools. At best "instantly generate a ... workflow" implies a generation use case, but the agent must guess from the name alone.

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