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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds the backing REST endpoint (GET /channels) and the downstream role of channel slugs, but says nothing about pagination behavior, ordering, or result size beyond what the schema's page description already covers.

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?

Two sentences plus an endpoint reference, with the core purpose front-loaded and zero filler. Nothing could be removed without losing signal.

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 parameterless, read-only list tool with no output schema, the description covers what a channel is and why slugs matter. Minor gap: it does not describe the shape or scope of the returned list, which the agent must infer.

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% for the single `page` parameter, which already documents 1-based paging and the page_size/page_count/total_count response fields. The description adds no parameter detail, 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 ('List channels') and clarifies the domain concept with concrete examples ('inboxes: email, chat, social, etc.'). It does not explicitly distinguish itself from the sibling reamaze_get_channel, though the list/get split is inferable from names.

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?

It implies how the output is consumed ('Channel slugs are used as `category` filters') but never states when to call this versus reamaze_get_channel or why an agent would need the channel list. Usage is implied rather than directed.

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