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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds a genuinely useful behavioral fact — suggestions do not count toward the plan until approved — but omits pagination behavior and any note on result ordering or volume.

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 the tool returns, followed by the billing/approval caveat. No filler, though it is fairly terse for a tool with a state-filtering concept worth expanding.

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 annotations covering the safety profile, a fully documented 2-parameter schema, and no output schema to explain, the description is nearly sufficient. The main gap is the absence of any guidance on the state filter's role or how to route to sibling list tools.

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 description coverage is 100%, with limit (default 25) and state (enum pending/approved/rejected, default pending) fully documented in the schema. The description adds no syntax or defaulting detail beyond that, so the baseline 3 is appropriate.

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 a specific verb and resource ('Accounts Intakra suggested for your list') and explains where the suggestions come from (public filings, news, lookalikes). It implicitly separates these from real list accounts via the approval workflow, though it never names a sibling like list_accounts to make the distinction explicit.

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: the tool is for viewing suggested accounts awaiting approval. There is no explicit statement of when to call this versus list_accounts, request_accounts, or add_accounts, so an agent must infer the boundary from the 'suggested' framing.

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