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

No annotations are provided, so the description carries the full burden, and it does disclose the shape of what comes back (content_json with pricing, recent moves, positioning, displacement signals, when-to-choose, plus metadata). It implies a read-only fetch but says nothing about auth requirements, rate limits, or what happens for an unpublished or missing slug — a meaningful gap for a lookup keyed on 'published' comparisons.

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?

Three sentences, usage condition front-loaded, with the fetch and return details following in a sensible order. The first sentence ('full head-to-head detail') and second ('full structured body') overlap slightly, so it is efficient but not waste-free.

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 payload and it does so well by enumerating the content_json sections. With no annotations, some behavioral context (failure modes for bad/unpublished slugs) is still missing, but the definition is otherwise sufficient for correct invocation.

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 100% and the single slug parameter is already documented as coming from list_comparisons, which the description merely echoes. No additional format, validation, or edge-case meaning is added beyond the schema, 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 (fetches) and resource (the full structured body of a published competitor comparison by slug), and clearly scopes it as the single-comparison detail view versus the list. An agent can distinguish it from list_comparisons and the other get_* siblings without opening any schema.

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?

Begins with an explicit trigger ('Use when the user wants the full head-to-head detail for one published comparison') and routes the agent through the prerequisite sibling, naming list_comparisons as the source of the slug. The when-to-use condition and the alternative are both spelled out.

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