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

The description adds significant behavioral context beyond the annotations: it is a write operation (non-readOnly), requires authentication, and is explicitly not a financial commitment, with acceptance going through a deep-link confirmation. It does not mention side effects like edit/withdraw capabilities or idempotency, but the provided details are substantive.

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?

Three sentences that front-load the purpose ('Submit a quote on an open quote request'), then add provider actions and key behavioral caveats. Every sentence carries meaning, with no redundancy or filler.

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 mutation tool with no output schema and no parameter descriptions, the description covers the core action and important caveats but omits details about required identifiers, currency expectations, business context, and any return/response behavior. It is adequate for a simple call but not fully complete for an agent operating without additional context.

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 must compensate, but it only explains a subset of parameters: estimated price, optional duration, availability, and message. It leaves quote_request_id, provider_type, currency, business_id, and terms_conditions unexplained, so an agent still has to infer their meaning from names and constraints.

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 ('Submit') and resource ('a quote on an open quote request'), and explains the provider's role in setting price, duration, availability, and message. It is clearly distinct from sibling tools like request_quote (creating a request) and accept_quote (accepting one), even without naming them.

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?

It specifies the tool applies to 'open quote request' and explains the subsequent acceptance flow, implying the tool is only for submission, not acceptance. It provides clear context but does not explicitly name alternatives or state when not to use it beyond the 'open' qualifier.

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