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

With no annotations, the description carries the full disclosure burden and does well: it states the call writes to the account, warns to confirm details with the user first, and specifies the required key privilege with the concrete 401 failure for read-only keys. It stops short of describing the response or any rate/latency behavior.

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 purpose then the two operational caveats (user confirmation, key privilege). No filler or repetition of the tool name.

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 9-parameter write tool with no output schema, the description covers purpose, mutation semantics, and auth, and the schema covers every parameter including idempotency. The only gap is that it does not say what the call returns (e.g. the created chatbot's identifier), which an agent creating then configuring a chatbot would benefit from.

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 parameters like personality, industry, and idempotencyKey are already fully documented in the schema itself. The description only echoes a few of the inputs (greeting, personality, FAQ) without adding syntax or constraints beyond it, so baseline 3 applies.

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 ('Create a new website chatbot for a business') and enumerates what is created alongside it (greeting, personality, FAQ knowledge), which the bare tool name does not convey. The create semantics are clearly distinguishable from the read-oriented sibling smartwebchat_list_chatbots.

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?

Gives an explicit precondition for calling ('confirm the business details with the user before calling') and an auth gate ('needs a key with full access; a read-only key gets 401 here'). It does not name alternative tools or say when not to use it, but for a creation tool the surrounding conditions are well covered.

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