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

No annotations exist, so the description carries the full behavioral burden, and it discloses almost nothing: no indication of whether the tool generates text, retrieves a stored prompt, or performs any computation. The only behavioral hint is that the deliverable 'includes the complete prompt, usage guide, and edge-case handling,' which suggests a returned template rather than an analysis.

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?

Only three sentences, but they are front-loaded with generic sales language ('Turn expertise into output', 'in minutes', 'professional results') instead of the tool's actual function. The one potentially useful fact, that it bundles a prompt, usage guide, and edge-case handling, is buried at the end.

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?

With no annotations, no output schema, and a domain-conflicted name, the description must do all the work and does not: an agent cannot determine what it returns, what the query does, or why it would pick this over the numerous adjacent finance and planning tools. It is not adequate for correct invocation.

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 description coverage is 100% and the single optional 'query' parameter is already documented in the schema as 'Optional user query to scope the analysis.' The description adds nothing about how the query influences output, so baseline 3 applies.

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 never states a concrete verb+resource; it says the tool is a 'prompt pack' that 'helps ... produce professional results,' which is marketing framing rather than an action. Worse, it targets 'restaurant and brand teams' while the tool name is household-asset-alloc, so an agent cannot tell which domain the tool actually serves.

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 statement of when to use this tool, when not to, or which of the many siblings (budget-allocation, fund-invest-beginner, mortgage-prepay-calc, etc.) it replaces. 'Turn expertise into output' implies a generic generation task but gives no selection criteria.

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