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

With no annotations, the description carries the full behavioral burden and mostly fails. It implies the tool delivers a static prompt/playbook asset ("battle-tested prompt," "works in any LLM chatbot") but never says what it actually does with input, whether it transforms or generates text, what the output looks like, or any constraints. The one genuinely useful hint, that it is a prompt asset rather than a computation, is buried in sales copy.

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 essentially all of them are promotional ("Save hours every week," "No setup") rather than operational. The space is not front-loaded with what the tool does, so the brevity is wasted rather than efficient.

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 no parameter detail in the description, an agent gets almost nothing needed to invoke this correctly. It cannot tell what the tool produces or when to prefer it over the numerous sibling expense-* and *-polish-tool variants, leaving a significant gap for a tool in such a dense family.

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% for the single optional "query" parameter, so the schema already defines its meaning. The description mentions nothing about the query, so it adds no meaning beyond the schema; 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 only restates the name ("This expense polish tool toolkit") and then pivots to unrelated marketing language about a "prompt and operating playbook for restaurant/brand growth." It never states the specific operation (polishing/refining expense content) or how it differs from the many adjacent siblings such as expense-rewrite-tool, expense-summary-tool, or expense-gen-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 and no mention of alternatives among the ten-plus expense-* tools. The only contextual claim, that it suits "restaurant/brand growth," actively misdirects selection for a tool named expense-polish-tool rather than helping route the agent.

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