painto_doprava_platby
Jak se zboží doveze a jak se dá zaplatit — dopravci, ceny dopravy, doprava zdarma od částky, platební metody.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Jak se zboží doveze a jak se dá zaplatit — dopravci, ceny dopravy, doprava zdarma od částky, platební metody.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates content topics and does not mention whether the tool is read-only/static, where the information comes from, how current it is, or what format the answer takes. It is not misleading, but it is thin.
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?
The description is a single sentence, front-loaded with the core question and followed by concrete specifics. Every part is informative and there is no filler or redundancy.
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 zero-parameter informational tool with no output schema or annotations, the description covers the relevant subtopics adequately: carriers, prices, free shipping threshold, and payment methods. A small gap is that it does not explicitly state what the tool returns, but this is not critical for such a simple tool.
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?
The input schema has zero parameters, so there are no parameter semantics for the description to clarify; the baseline for 0-parameter tools is 4. The description still adds value by enumerating the information domains the tool covers.
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 clearly identifies the tool's resource: delivery and payment information, and lists concrete subtopics (carriers, shipping prices, free-shipping threshold, payment methods). This differentiates it from siblings like painto_dostupnost, painto_kontakt, and painto_sortiment without needing to open the schema.
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?
The description implies when to use the tool through its topic coverage, but it does not explicitly state when to use it versus alternatives or name any sibling tools. An agent can infer that delivery/payment questions belong here, but the guidance is not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a different customer need: search, availability, shipping/payment, catalog ordering, contact, and assortment stats. The only mild overlap is between painto_hledej and painto_dostupnost, since both surface stock information, but their intended use cases are distinct enough.
All tools share the painto_ prefix and lowercase snake_case style, making them easy to recognize as a group. The set is mostly noun-style with one imperative exception (painto_hledej), so it is predictable but not a uniform verb_noun pattern.
Six tools is a well-scoped size for an e-shop assistant. Each tool clearly earns its place and covers a meaningful slice of customer-facing functionality without redundancy or unnecessary bloat.
The tool set covers the core shopping-help workflows: finding products, checking stock, getting shipping and payment details, contacting the store, and ordering via catalog. Minor gaps such as detailed product pages, promotion listings, or order status exist, but agents can usually work around them.