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

No annotations are provided, so the description carries the full burden. It usefully discloses what extra data comes back versus the sibling, but says nothing about read-only nature, permissions, pagination, or result size for a list endpoint. Adequate but incomplete for an unannotated tool.

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 sentence, front-loaded with the differentiator (per-agent stats) and free of filler. Every clause earns its place.

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 hint at return content, and it names the three stat categories. For a zero-param list tool this is nearly sufficient, though it could say more about result shape or ordering.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline for a 0-param tool is 4; no parameter details are missing that the schema would otherwise need to supply.

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 gives a clear verb (list) and resource (agents), and explicitly anchors itself against its closest sibling by naming `list_agents` and stating the delta. An agent can distinguish this from `list_agents` without opening either schema, and the three extra stat fields (connections, credits spent, status) make the added scope concrete.

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?

The 'Same as X but includes Y' framing implicitly routes the agent: pick this when you need stats, otherwise use `list_agents`. That is real selection guidance, but it stops short of stating prerequisites or exclusions explicitly.

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