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

No annotations are provided, so the description carries the full burden. It discloses that this is not a purchase, not a guaranteed quote, explains the two-step flow, the exact consent requirement, the email link that must be clicked, and the condition that submission only happens after the token is provided. This is highly transparent about 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?

The description is lengthy but packed with necessary operational detail: the two-step process, the consent line, the email link, and what to show the user. It is not overly verbose given the complexity. The most critical information (purpose and two steps) is front-loaded, and each sentence earns its place.

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 tool has no output schema, so the description must explain what step 1 returns (summary, consent line, confirmation token) and what happens after step 2 (email with link, provider visibility). It also explains the consent requirement in full. This is complete for an agent to call the tool correctly.

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 each parameter (answers, consent, confirmation) is already well described in the schema. The description adds contextual detail (e.g., answers keyed by field key, the confirmation token from step 1) but these mostly echo the schema. It does not go beyond what the schema already states, so 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 precise verb and resource ('Submits an enquiry to Lease Renewal Cost') and immediately clarifies what it is NOT (a purchase, a guaranteed quote). This distinguishes it from any purchase-like tools and is clearly separate from its siblings (enquiry_describe, enquiry_fields). The two-step nature is also front-loaded.

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 gives explicit step-by-step usage: first call with answers and consent, get a confirmation token, then call again with the token only if the person agrees. It also specifies showing the summary and consent line to the user. It does not explicitly compare with sibling tools, but their purposes are obvious from names; the usage guidance for this tool is thorough.

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