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 largely fails it. It mentions a "complete prompt, usage guide, and edge-case handling," which hints that the tool returns prompt-pack content rather than an analysis, but it never says what the execution actually does, what it returns, or whether output is deterministic.

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?

At three short sentences it is not bloated by length, but the sentences are pure promotional filler ("professional results in minutes") rather than front-loaded operational information. None of the wording helps an agent decide or invoke correctly, so little of it earns its place.

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 and no output schema, the description is the only source of behavioral information, and it is insufficient: an agent cannot determine the expected output shape, the domain of "policy," or any constraints. The mention of restaurant/brand teams and edge-case handling is the only substantive content.

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 ("Optional user query to scope the analysis"), so the schema already does the documentation work. The description adds no meaning about how a query scopes the summary or what happens when it is omitted, but the high coverage establishes the baseline of 3.

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 opens with vague marketing copy ("Turn expertise into output") and then only restates the tool name as a "policy summary tool prompt pack." It never states a concrete verb+resource operation, such as what kind of policy is summarized, from what input, or into what form, so it cannot be distinguished from the many policy-* siblings beyond the word "summary."

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. The crowded policy-* family (policy-audit-tool, policy-check-tool, policy-gen-tool, policy-write-tool, policy-tpl-tool, etc.) demands explicit routing, and the description offers none. The only audience hint ("restaurant and brand teams") does not tell an agent when to pick this tool over alternatives.

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