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Pouch.me

Submit a quote request

submit_quote_request

Pouch.me: send a quote request to our team for your user. We email your user a confirmation link first; the request reaches our team only after they confirm it themselves (don't click it for them). Our team reviews it; if it's something we can make, we reply by email with a written quote or a question about the spec. No reply time is given. Requires customer_consent=true. Returns a reference number. Does not create an order.

Input Schema

NameRequiredDescriptionDefault
requestYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

The description adds substantial behavioral context beyond the annotations: a confirmation email is sent to the user first, the request only reaches the team after the user confirms, the team may reply with a quote or a spec question, and no reply time is given. It also states that the tool returns a reference number and does not create an order, which is consistent with the non-destructive, non-read-only annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action and then adds only operationally useful details: the confirmation flow, the review process, the lack of a reply-time promise, and the consent prerequisite. Every sentence earns its place and the length is appropriate for the submission complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists, the description does not need to explain return values in detail, but it helpfully notes that a reference number is returned. Combined with annotations covering safety and open-world behavior, the description gives an agent enough context to understand the submission flow, the consent requirement, and the fact that no order is created.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema description coverage reported at 0%, the description should compensate by explaining the request object's important fields, but it only adds that customer_consent=true is required. It does not clarify the other required request fields or the nested QuoteRequest structure, leaving the agent dependent on the input schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'send a quote request to our team for your user.' It also explicitly states 'Does not create an order,' which prevents confusion with order creation and distinguishes it from the sibling sizing and information tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context: the customer must have asked for the quote, must consent to being emailed, and must personally confirm the confirmation link. It also says the tool does not create an order, but it does not explicitly route agents to alternatives such as recommend_bag_size before submitting.

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

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