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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so 'No side effects' merely restates structured data and earns no credit. The added value is the enumeration of returned content, which helps the agent know what answers this tool can supply, but it doesn't state freshness of the data (e.g., whether prices/hours are cached) or any localization/currency 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?

A single compact sentence front-loads the returned fields, which is the highest-value information for this tool. The trailing 'No side effects' is redundant against the annotations and could be dropped, but it costs little.

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 output schema, the description must carry the return shape, and it does so by listing the fields an agent can expect. It is not exhaustive (no mention of whether currency, opening-hour granularity, or ties to list_fitting_days are included), but for a zero-parameter read-only lookup it is essentially complete.

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 are zero parameters, so there is nothing to document and the 4 baseline applies. The description correctly implies no input is needed, which matches the empty schema.

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 enumerates exactly what the tool returns (address, hours, phone, delivery fee, fitting price, payment methods, policy links), which is specific enough for an agent to recognize it as the static shop-info lookup. It does not explicitly differentiate itself from siblings like get_quote or list_fitting_days, which also touch pricing/availability, so a small ambiguity remains about which tool to call for fitting prices vs. fitting days.

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?

Usage is only implied: an agent can infer this is for static shop details rather than order or quote data. There is no explicit 'use this when…' statement and no mention of alternatives, even though get_quote and list_fitting_days partially overlap on price/day information.

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