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

Annotations already declare readOnlyHint, idempotentHint and non-destructive, so the safety profile is covered. The description adds one genuinely useful behavioral fact — agents are keyed by ID and names may duplicate — which tells the agent how to disambiguate results, but it says nothing about ordering, result size, or pagination.

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?

A single front-loaded sentence with the identity caveat attached to the scope statement. Every clause earns its place and there is no filler.

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 parameters, full annotation coverage and an output schema describing the return shape, the description covers nearly everything an agent needs. The only residual gap is scale/pagination behavior, which the output schema may already address.

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 and schema coverage is 100%, so the baseline is a 4. Nothing in the schema requires additional explanation in prose.

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?

Names a specific verb and resource ("Lists Agents") and scopes it to the authorized Workspace. It does not distinguish itself from siblings like agent_analytics or agent_kpis_read, but the intent is unambiguous and no sibling performs plain agent enumeration.

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 would infer it is the discovery/enumeration call before the agent_*_read tools. There is no explicit when-to-use, no exclusions, and no pointer to alternatives such as agent_analytics for metrics.

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