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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and closed-world, so the safety profile is covered. The description goes beyond that by disclosing the scope of the payload — field inventory, repair rules, size limits, data-rights confirmation, and retention policy — which tells the agent this is a non-mutating informational surface with governance content.

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?

A single front-loaded sentence with no preamble or filler. The five-item enumeration is dense but each item earns its place by naming a distinct part of the returned contract.

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 input parameters, a present output schema, and rich annotations, the definition only needed to say what the tool exposes — and it does, thoroughly. It stops short of 5 only because the practical trigger ('call this before option_import_snapshot') is never stated.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a 0-param tool is 4.

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 verb 'Return' plus an enumerated list of resources (CSV/JSON option-chain fields, repair rules, size limits, data-rights confirmation, retention policy) makes it unmistakable that this is a metadata/spec-lookup tool. It does not name a sibling such as option_validate_snapshot to distinguish itself, which keeps it short of a 5.

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 explicit when-to-use or when-not-to-use statement; the agent must infer that this is consulted before an import or validation to learn accepted formats and limits. The content itself hints at that role (safe repair rules, size limits), but the routing decision is left implicit.

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