Skip to main content
Glama

Blumen Komander München

search_flowers

Sucht verfügbare Blumensträuße bei Blumen Komander München. Filtert nach Anlass, Farbe, Stil und Budget.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
colorNoGewünschte Farbe
styleNoStil des Straußes
maxPriceNoHöchstpreis in EUR
minPriceNoMindestpreis in EUR
occasionNoAnlass für die Blumen
flower_typeNoBlumenart

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It adds that the tool searches 'verfügbare' (available) bouquets and filters by occasion, color, style, and budget, which are behavioral traits. However, it does not state whether it is read-only, any rate limits, or what the result contains, leaving some gaps.

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 a single, concise sentence in German: one clause for the search action and one for the filtering capabilities. It is front-loaded with the core purpose and contains no unnecessary words or repetition. Every word earns its place.

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

Completeness2/5

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

There is no output schema, so the description should explain what the tool returns (e.g., list of bouquets, matching criteria, pricing) but it does not. It also does not mention pagination, sorting, or how results relate to other tools like check_availability or create_cart. For a tool with 6 optional parameters and no return specification, the description feels incomplete.

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

Parameters3/5

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

The input schema has 100% description coverage, so the baseline is 3. The description groups parameters into categories ('Anlass, Farbe, Stil, Budget') and adds 'Budget' as a conceptual umbrella for minPrice/maxPrice, but it omits 'flower_type' which exists in the schema. Overall, it adds minor semantic grouping but does not significantly extend the schema's existing parameter details.

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 clearly states the tool's purpose: 'Sucht verfügbare Blumensträuße bei Blumen Komander München' (searches for available flower bouquets at Blumen Komander Munich). It uses a specific verb ('Sucht') and resource ('verfügbare Blumensträuße'), and the filtering attributes distinguish it from sibling tools like check_availability, create_cart, or get_shop_info.

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

Usage Guidelines3/5

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

The description implies usage: it is the tool for searching/filtering bouquets, but it does not explicitly say when to use it over siblings or when not to. No alternatives or exclusions are mentioned. The purpose alone gives some guidance, but not explicit criteria for selection.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose: checking delivery availability, creating a cart, getting a checkout link, tracking an order, obtaining shop info, and searching for bouquets. No two tools overlap in functionality, making it easy for an agent to select the correct one.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: check_availability, create_cart, get_checkout_link, get_order_status, get_shop_info, search_flowers. The naming is uniform and predictable.

Tool Count5/5

With 6 tools, the set is well-scoped for a flower ordering service. Each tool covers an essential step in the customer journey without unnecessary redundancy, and the count is within the ideal range for an MCP server.

Completeness5/5

The tool set covers the full ordering lifecycle: searching for flowers, checking delivery availability, creating a cart with all necessary details, obtaining a checkout link for payment, and tracking order status. There are no obvious gaps or dead ends in the flow.