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

Beyond the annotations (readOnlyHint=false, destructiveHint=false), the description discloses important behavior: a private advisor workspace is created on the first call, credentials are returned, and replies never contain supplier names or pricing until a human broker review. It also specifies the claim_url/callback path, giving the agent a realistic model of side effects and limitations.

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?

The description is front-loaded with the core purpose and then presents the stateful calling convention in a clear, ordered sequence. Every sentence adds necessary operational detail, and there is no filler or repetition. The line break separates the high-level purpose from the concrete protocol, improving scannability.

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?

The description fully covers the multi-turn workflow: how to start, how to continue, what to persist, and what to expect in replies. The only minor issue is mentioning 'conversation_id' as a value to persist without clarifying that it is not an input parameter and likely appears in the response, which could cause slight confusion for an agent.

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?

With 0% schema description coverage, the description compensates well by explaining the roles of company_name, pain, session_id, and session_token. It clarifies that pain is a plain-language description of what is not working. The one gap is that 'message'—the only required parameter—is not explicitly defined, though its purpose is reasonably inferable from the advisor context.

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 first sentence states a clear, specific action—'Consult CHNLSYNC's advisor about the user's IT environment'—identifying both the resource (the advisor) and the subject (IT environment). This distinguishes the tool from its siblings, which focus on retirement checks and broker callbacks. The purpose is explicit and not a tautology.

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?

The description provides explicit usage context: first call must omit session_id/session_token and include company_name plus pain, while later calls must pass session_id/session_token. It also instructs persisting these values across turns. However, it does not mention when not to use this tool or contrast it with sibling alternatives, so it stops short of full guidance.

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