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Pinflower — flowers in Prague

Bouquet details and times

pinflower_get_bouquet
Read-onlyIdempotent

Use this when the buyer is interested in one bouquet from pinflower_search_bouquets: what is inside, its size, photos, the florist's rating, the exact price with delivery and every time it can arrive on a given day. Needs bouquet_id from a search. Not for comparing many bouquets — search does that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDelivery/pickup day: 'today', 'tomorrow' or YYYY-MM-DD (Prague). Omit for as soon as possible.
whereNoWhere the flowers go, as the buyer said it: a Prague district ('Praha 5'), a quarter ('Vinohrady', 'Smíchov') or a street address. Omit when unknown.
localeNoThe buyer's language for names, texts and links: cs, en, ru or uk (default cs).
bouquet_idYes
fulfilmentNodelivery (default) or pickup at the florist's shop.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
slotsNo
bouquet_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint, so safety is covered. The description adds useful behavioral context beyond that: it computes exact delivery prices and all arrival slots for a given day, and depends on a prior search result. No contradiction with 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 compact and front-loaded with the primary use case, then the required input, then the key exclusion. Every sentence earns its place without redundancy or filler.

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 and annotations cover read-only/idempotent behavior, the description completes the picture: trigger condition, prerequisite, scope, and what results to expect. Nothing essential is missing for correct invocation.

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?

Schema coverage is 80%, so the baseline is 3. The description adds extra meaning by explaining that bouquet_id comes specifically from a search and by linking the date parameter to arrival-time and delivery-price computation, which is not fully captured in the 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 names a specific verb and resource: getting details for one bouquet selected from pinflower_search_bouquets. It also enumerates the returned content — contents, size, photos, florist rating, exact delivery price, and arrival times — and explicitly contrasts with the search sibling for comparing many bouquets.

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

Usage Guidelines5/5

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

The description states exactly when to use this tool ('when the buyer is interested in one bouquet'), the prerequisite ('Needs bouquet_id from a search'), and the exclusion ('Not for comparing many bouquets — search does that'). This gives the agent clear routing guidance versus its siblings.

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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