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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuine value beyond that by explaining the semantics of the returned data: `dm` is a tri-state (ready / reconnect-because-it-signed-in-before-DMs-were-requested / unsupported) and `via: extension` appears for Reddit, which an agent needs in order to interpret results. It is silent on ordering, result count, and auth requirements.

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 compact sentences with no filler. It is front-loaded with the outcome rather than the action, which is slightly backwards for a listing tool, but nothing here is wasted.

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 does carry the return-value burden reasonably by naming `limits`, `dm`, and `via`. However, for a tool whose two parameters filter the result set, it says nothing about how `org` or `platform` change what comes back, leaving a real gap in an otherwise adequate definition.

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 only 50%: `org` is documented in the schema, but `platform` has an enum with no stated meaning or default. The description contributes nothing about either parameter — no mention of filtering by platform, no explanation of the org default — so it fails to compensate for the coverage gap.

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 states the resource (connected accounts plus their sign-in health) and enumerates the notable output fields, so an agent knows exactly what it will get back. It never uses an explicit list verb and does nothing to distinguish itself from nearby siblings such as accounts_check or accounts_default, so it stops short of a 5.

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?

There is no when-to-use guidance, no mention of alternatives like accounts_check or accounts_default, and no statement about prerequisites or scope (all orgs vs. one). The reader must infer from the name alone that this is the enumeration entry point.

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