O bazie kultur
o_bazieCo zawiera baza kultur i jak ją cytować. Opis bazy: ile kultur i sklepów, jakie typy, od kiedy ceny są sprawdzone, licencja i jak cytować.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
o_bazieCo zawiera baza kultur i jak ją cytować. Opis bazy: ile kultur i sklepów, jakie typy, od kiedy ceny są sprawdzone, licencja i jak cytować.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false already declared, the safety profile is covered, so the description's job is to explain content. It does so by disclosing exactly what the answer covers (counts of cultures/stores, types, since when prices are verified, license, citation), which is genuine value beyond the annotations. It does not say whether the answer is prose or structured data, so a 4 rather than 5.
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?
It is short and front-loaded, but the two sentences overlap: 'jak ją cytować' is announced in the first sentence and re-listed in the second, and 'Opis bazy:' restates the opening clause. Tightening into a single sentence would lose nothing.
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, read-only informational tool with no output schema, the description enumerates the answer's contents, which is what an agent needs to decide whether calling it will resolve its question. Only the response form (text vs structured) is left unspecified.
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 properties, so there are no parameters to explain; baseline is 4. The description correctly implies the tool is parameterless and returns fixed descriptive content, adding no misleading parameter expectations.
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 states a specific subject: it is the meta-informational tool about the culture database ('Co zawiera baza kultur i jak ją cytować'), and it enumerates what it reports — number of cultures and stores, types, price-verification date, license, citation format. That is far more concrete than the bare name 'o_bazie'. It does not explicitly distinguish itself from the sibling data tools (kultura, szukaj_kultur), which keeps it from a 5.
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?
There is no explicit when-to-use statement or exclusion. Usage is only implied: an agent can infer this is the metadata/about tool to consult before or alongside querying actual records with kultura or szukaj_kultur. No routing or prerequisite guidance is given.
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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