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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds real value beyond that by disclosing what the response contains (description, process, price, case studies, FAQ), which matters since there is no output schema. It does not mention lookup failures for an unknown slug, 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?

One compact sentence with zero filler, and the resource identity is front-loaded before the payload enumeration.

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, describing the returned payload is exactly what is needed, and the description does that. The only gap is behavioral edge cases (missing/invalid slug) for what is otherwise a simple two-parameter read tool.

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%: both slug and lang are documented in the schema, including the enumeration of valid slugs and the language default. The description adds nothing about parameters, so the baseline 3 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?

States a specific verb and resource: 'Full detail of one service', and enumerates the fields returned (what it is, how it is done, price, case studies, FAQ). It is clearly the single-item counterpart to hilo_list_services, though the description itself does not name that sibling (the schema's slug description does).

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 infers this is the tool to call when it needs detail on a specific service. There is no explicit when-to-use versus alternatives (e.g. 'call after hilo_list_services to drill into one result' or 'use hilo_get_pricing for pricing alone').

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