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Create a GENOSYS bag link

create_bag_link
Read-onlyIdempotent

Build one link that opens genosys.ae with these items already in the shopper's bag, ready to check out. Use when the shopper decides to buy. Products with sizes or shades (see get_product options) need one picked: pass size, or color as its label or value (e.g. "#01 Bright").

Input Schema

NameRequiredDescriptionDefault
itemsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, closed-world, so the safety profile is covered. The description adds genuine context beyond that: the conditional requirement that sized/shaded products need a size or color picked, and the '#01 Bright'-style label/value format.

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?

Three sentences, front-loaded with the outcome, then the usage trigger, then the parameter caveat. No filler and every sentence carries information.

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

Completeness4/5

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

No output schema exists, and the description conveys what the artifact is (a link that opens the site with items pre-loaded). The cross-reference to get_product options is helpful. It stops short of stating the exact return shape and how the link relates to open_checkout, which would fully close the loop.

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

Parameters4/5

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

With 0% schema description coverage the description carries the full burden, and it explains the non-obvious conditional requirement (size or color for sized/shaded products) that JSON schema cannot express. It omits quantity semantics and the 20-item cap, which are discoverable from the schema constraints themselves.

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?

Specific verb+resource: builds a pre-filled genosys.ae bag link. It clearly distinguishes itself from checkout-mutating siblings (open_checkout, place_order) by describing the output as a link rather than a transaction.

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?

"Use when the shopper decides to buy" gives a clear trigger condition. It does not explicitly name alternatives such as open_checkout or place_order, so the agent must infer the boundary between building a link and completing a purchase.

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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