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

With no annotations provided, the description carries the full behavioral disclosure burden. It clearly states the core side-effect boundary: only a stored record, human review, and no automatic messaging, charging, checkout, contract, or work start. It also highlights consent and agent-attribution requirements. It does not mention persistence semantics, idempotency behavior, or error/response behavior, but the safety-relevant aspects are well covered.

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 deliver the purpose, constraints, and behavioral guardrails without filler. The action and primary qualifiers are front-loaded, and every clause earns its place. The structure is tight and immediately scannable for an agent.

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 10-parameter tool with no output schema and no annotations, the description is reasonably complete on purpose and safety boundaries. However, it lacks guidance on what the agent will receive in response, how retries interact with the idempotency key, and how to shape the scope string. It also does not position itself relative to sibling tools, though the distinct vocabulary ('quote request') compensates somewhat.

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 70%, with several parameters already having descriptions. The description adds the $200+ pricing threshold that relates to the sku enum and the 'consent-bound' and 'agent-attributed' concepts tie to human_authorized and agent_name. However, it does not elaborate on idempotency_key, scope formatting, or the boolean consent flags beyond what the schema already states. This is adequate for the moderate coverage.

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 ('Store'), a distinct resource ('quote request'), and key constraints (consent-bound, agent-attributed, canonical US Tech Automations offer priced at $200 or more). The second sentence further disambiguates it from execution or commerce tools by stating that no automatic message, charge, checkout, contract, or work start occurs, clearly separating it from potential sibling tools.

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 clearly conveys when to use this tool: when a consenting human has authorized an agent to file a quote request for an eligible offer. It also sets expectations that a human will review the request and that no automatic fulfillment will happen. It does not name specific sibling tools or enumerate explicit exclusions, but the context is strong enough to guide selection.

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