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

With no annotations, the description bears full burden. It discloses read-only behavior and return composition (static platform map + per-account list). It stops short of auth/scope details, but the list/static language resolves the main side-effect question.

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 concise, front-loaded sentences with zero filler and a natural move from purpose to usage to return shape.

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 read-only single-parameter tool, it covers purpose, usage, and return shape adequately. However, missing accountId semantics and the close list_capabilities sibling leave an agent guessing on edge cases.

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 0% and accountId is never named in the description. The phrase 'per-account list' implies account filtering, but the optional accountId's behavior (default/all vs single account) is left to inference.

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+resource: lists per-account capabilities and contrasts automation vs scheduler. It is clear, but with a sibling named list_capabilities it does not explicitly differentiate itself.

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?

Provides concrete triggering user questions ('can my Twitter account run automation?'). It lacks explicit when-not-to-use or alternatives, but gives clear selection context.

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