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

With no annotations provided, the description carries the full burden and does real work: it declares the return format (markdown), and it discloses that every fact ships with a status tag and date and that start times come from the published schedule, which tells the agent to treat freshness/provenance as meaningful. It omits what happens on an unknown slug and any permission or rate-limit constraints, keeping it short of a 5.

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 names the resource and format, then spends the rest on a compact enumeration of contents. No filler, and the most decision-relevant information leads.

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 describe the return payload, which it does thoroughly by cataloguing every section of the record. The remaining gap is failure behavior and the slug's expected provenance, but for a read tool the description is nearly sufficient to call correctly.

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 coverage is 50%: slug is documented in-schema while the format enum is not described. The description partially compensates by stating the output is markdown, hinting at the default format, but it never mentions that json is an available alternative, so the enum's practical significance remains undocumented.

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?

States a concrete resource ('Full record for one salon') and then enumerates exactly what that record contains (hours, services with price/duration/inclusions, stylists, policies, booking rules). That inventory makes clear it is the deep single-entity fetch rather than a list or a narrow lookup, though no sibling is named explicitly.

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: the breadth of the returned record suggests it is the tool for when a full salon profile is needed, and the sibling list makes the shallow alternatives (list_salons, get_stylist) guessable. There is no explicit when-to-use statement, no exclusion against lighter tools, and no prerequisite information such as whether the slug must come from list_salons first.

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