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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely new context beyond that: it states the result ordering ('display order'), which fields come back, and a free-quota limit of 200 calls per day per IP. It stops short of describing response shape or error behavior, which is a notable gap given there is no output schema.

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, front-loaded with what is returned before the pricing metadata. The embedded JSON pricing block is a bit dense but is short and does carry distinct information (quota, contact URL) that an agent would otherwise lack.

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 and no parameters, the description does most of the necessary work by naming the returned fields and their ordering. The remaining gap is that it does not characterize the shape of the response (a list, nesting, item counts) nor clarify what 'integrations a workspace can connect' means in practice.

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 4 applies; the description does not misrepresent any inputs.

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?

Uses a specific verb ('Returns') with a specific resource ('the public plans in display order') and enumerates the fields surfaced: price, billing period, monthly AI limits, and connectable integration names. An agent can tell this is a read-only plan listing rather than a support-plan or pricing-lookup call, though it never names the sibling it differs from.

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 explicit when-to-use guidance and no exclusion of alternatives. This matters more than usual here because the tool embeds a pricing payload while siblings named myaiceo_pricing and myaiceo_support_plans exist, leaving the agent to guess which one answers a pricing or plan-comparison question.

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