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

With no annotations supplied, the description carries the full behavioral burden, and it instead describes product packaging ("ships as a full prompt kit with step-by-step instructions and a 30-day support promise"). It never states what the tool actually does at runtime, whether it is a read or write operation, what it returns, or what happens with an empty query. The commercial language is not merely uninformative but potentially misleading about the tool's real 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 sentences, none of which front-load the actual capability; the first sentence is category boilerplate and the third is a support/guarantee claim. Almost none of the wording earns its place in a tool definition, and the operative verb ("sort") never receives elaboration. The structure prioritizes selling over specification.

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?

There is no output schema, so the description must explain what the tool produces, and it does not — an agent cannot tell whether it returns categorized policies, a ranking, or a generated prompt kit. For a tool sitting among nine closely related policy-* siblings, the absence of any distinguishing or output information leaves the definition incomplete for correct selection and 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% for the single optional `query` parameter, so the schema already explains its meaning and optionality. The description adds nothing about how a query scopes or biases the sorting result, which is a missed opportunity but consistent with the baseline for fully documented schemas.

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 ("policy sort tool workflow") without saying what is being sorted, from what source, or by what criteria. The surrounding sentences are marketing copy about an "AI-powered restaurant & brand intelligence pack" and a "prompt kit," which obscures rather than clarifies the operation. It gives an agent no basis to distinguish this from siblings like policy-audit-tool, policy-summary-tool, or policy-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, no prerequisites, and no named alternative among the many policy-* siblings. The only implied instruction is a sales pitch ("no prompt engineering needed"), which does not help an agent decide between this tool and policy-summary-tool or policy-check-tool. No exclusions or routing conditions are stated.

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