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

No annotations are provided, so the description carries the full burden and does substantial work: it discloses the return shape {draft, disclaimer}, that output is AI-generated and requires human review, that nothing is stored and nothing reaches the customer, and that the call costs $0.05. It omits error/failure behavior, latency or rate-limit expectations, and how the disclaimer should be treated, which keeps it short of full transparency.

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?

Four compact sentences, front-loaded with the action and scope, followed by operational details and cost. The '[price: $0.05]' bracket is slightly awkward but earns its place by surfacing cost. No filler sentences.

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 annotations, the description covers what an agent needs: purpose, inputs, return value ({draft, disclaimer}), side-effect profile (no storage, no sending), human-review requirement, and cost. Missing only edge-case behavior (empty/oversized messages, failure modes), which is a minor gap for a simple text-generation tool.

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%, so the schema already documents customer_message, product_context, and the tone enum with its default. The description adds one genuinely useful semantic point — that no tenant/account/ticket identifiers are required — but otherwise restates 'raw text plus optional product context and tone' without adding format or constraint details beyond the schema.

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 and resource ('Draft a professional customer-support reply from a raw customer message') and adds the scope constraint 'tenant-agnostic: no account or ticket id needed'. It implicitly separates itself from send_reply by stating nothing is sent, but never names or contrasts with the very close sibling draft_reply, so sibling differentiation is incomplete.

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 clear context: use this when you have raw customer text and want an AI-generated draft with no ticket/account id and no delivery. The 'nothing is stored and nothing is sent' line functions as a when-to-use/when-not signal. However, it does not explicitly route the agent between this tool and the sibling draft_reply or send_reply, leaving the most important alternative choice to inference.

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