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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the pack includes a prompt, usage guide, and edge-case handling, but omits whether the call is read-only, what it returns, permissions, side effects, or any operational constraints.

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 it is not front-loaded with actionable information: the opening slogan and marketing claims do not earn their place before the tool's actual behavior is clarified.

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 tool with one optional parameter, no output schema, and no annotations, the description should explain the result and usage context more concretely. It leaves the core output—what a "side hustle map" actually is—ambiguous.

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 input schema has 100% description coverage and documents the optional query parameter as scoping the analysis. The description adds no further meaning about the parameter, so the baseline 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 calls itself a "side hustle map prompt pack" but never states what the tool actually does operationally—whether it generates a map, returns a prompt, or scopes an analysis. It largely restates the name with marketing phrasing like "Turn expertise into output" rather than distinguishing the tool from its many siblings.

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?

It names an audience (restaurant and brand teams) and a benefit (professional results in minutes), but gives no when-to-use guidance, no exclusions, and no alternatives among the extensive sibling tool list.

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