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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses almost nothing: whether the analysis is read-only or generative, what inputs it consumes, what dimensions of cost it covers, or how long/heavy the operation is. The single concrete signal is that it ships with edge-case handling, which hints at robustness but does not describe observable 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 front-loaded with promotional filler rather than functional substance. "Turn expertise into output" and "professional results in minutes" consume space that should have been spent on scope, when-to-use, or output behavior.

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 dozens of near-identical cost-* siblings, the description needed to compensate by explaining scope and selection. Instead an agent learns only that this is a cost-related prompt pack for restaurant/brand teams, which is not enough to call it correctly or to prefer it over a sibling.

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 only one optional parameter and the schema already documents it at 100% coverage ("Optional user query to scope the analysis"). The description adds no syntax, format, or example for that query, so the baseline of 3 applies rather than a penalty.

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 tool name ("cost analyze tool") and wraps it in marketing language ("Turn expertise into output", "produce professional results in minutes") without stating a concrete verb+resource. It vaguely implies cost analysis for restaurant and brand teams, and never distinguishes itself from the many cost-* siblings such as cost-board-tool, cost-diag-tool, or cost-formula-tool.

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 guidance at all: no conditions, no prerequisites, and no mention of any of the four cost-* siblings that an agent must choose between. The only usage-flavored sentence ("Includes the complete prompt, usage guide, and edge-case handling") describes the pack's contents, not when to invoke the tool.

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