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

With no annotations, the description carries the full burden of behavioral disclosure. 'Public' usefully signals no auth, and the ledger framing suggests a read-only informational call, but the description does not explicitly confirm side-effect-free behavior or describe output/pagination. It is clear but not deeply transparent.

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 sentence front-loads the tool's identity and packs the content categories after a colon with no filler. Every phrase adds information.

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?

For a zero-argument informational tool, the description covers what data is available and that access is public, which is enough to invoke it. It omits output shape (single summary object vs list) and any note on how 'recent orders' is defined, but the low complexity limits the gap.

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 has zero parameters, so the description has no parameter semantics to clarify; the schema already encodes the complete parameter surface. Baseline 4 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 identifies a public delivery ledger and enumerates its contents (totals, delivered-or-refunded %, volume, countries, recent orders), so an agent knows what data the tool exposes. It lacks an action verb and does not explicitly contrast it with siblings like order_status or list_offers, so it falls short of a top score.

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?

The description implies the tool is for retrieving aggregate delivery statistics rather than individual orders or actions, distinguishing it by subject matter from siblings like buy, quote, or order_status. It does not explicitly state when to choose it over alternatives or note any exclusions, leaving use-case routing mostly to inference.

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