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dataset_info

Data dates, sources, listing counts per portal, method notes and caveats (zrodla, daty, ograniczenia danych).

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, but this is a zero-parameter, read-only info lookup, so the risk surface is small. It discloses what the response contains (dates, sources, counts, notes, caveats) but says nothing about freshness guarantees, provenance of the portal counts, or that it is a safe read.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that moves directly into the content inventory with no preamble. The parenthetical Polish translation adds a small amount of redundancy/noise but the whole definition is still tight.

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?

An output schema exists, so return values need not be expanded further, and the schema description coverage is 100%. For a trivially simple zero-parameter tool, the content inventory is sufficient; only the missing when-to-use framing leaves a gap.

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?

The tool takes zero parameters, so there is no parameter semantics to explain; the baseline for a no-param tool is 4. Nothing in the description is needed to clarify arguments, and nothing misleading is offered.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates the specific content the tool delivers (data dates, sources, per-portal listing counts, method notes and caveats), which is more informative than the bare name 'dataset_info'. It does not explicitly contrast itself with siblings, but the siblings (commute_time, find_place, rank_neighborhoods, rent_stats) are functionally unrelated, so no differentiation is needed.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no trigger condition, and no mention of alternatives. The agent must infer that this is a metadata/reference lookup, likely before or alongside the analytical sibling tools, from the content listing alone.

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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