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Gratka MCP

Get one Morizon.pl listing

morizon_offer

Full details of one Morizon.pl listing: price and price per m² (PLN), area, rooms, floor, year built, property type, transaction and market, the address with district and coordinates, seller type and name (agency or developer; private owners are not named), the listing's detail tables as shown on the page (Polish labels and values: condition, rent and charges, building type, heating, ownership, available from…), amenities, the full description and photo URLs. No phone numbers. Get the id from morizon_search. Fetched live from Morizon.pl's own API (typically under 1 s). Result: { source, fetchedAt, listing: { source, id, url, title, active, property_type, transaction, market, kind, development, price, price_per_m2, currency, area_m2, rooms, floor, year_built, address, geo, seller_type, seller_name, agent_name, date_posted, updated, details, amenities, description, photos }, note? } — note is set when the listing is no longer active.

Input Schema

NameRequiredDescriptionDefault
idYesThe listing's id (e.g. 'mzn2047996834') or its full https://www.morizon.pl link, as returned by morizon_search.
no_cacheNoForce a fresh fetch and bypass this server's result cache (5 min). Default false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the burden well: it discloses that private owner names and phone numbers are omitted, that data is fetched live from Morizon's API in under a second, and that a `note` is set when a listing is inactive. Auth and rate-limit behavior are not mentioned, keeping it short of a 5.

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?

Front-loaded with the resource and field inventory, then prerequisites and return shape. The field enumeration is dense but each item is informative rather than 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?

There is no output schema, and the description fully spells out the result envelope including the optional `note` field, so an agent knows exactly what it will receive and what edge cases to expect.

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 100%, so the baseline is 3; the description adds the id's provenance (from morizon_search, or a full link per the schema) and explains the practical meaning of staleness for the inactive-listing case.

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?

States a specific verb and resource ('Full details of one Morizon.pl listing') and enumerates the actual fields returned, so it is immediately distinguishable from morizon_search and the gratka siblings.

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

Usage Guidelines4/5

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

Explicitly routes the agent to morizon_search to obtain the id, which is the key prerequisite. It gives clear positive context but does not state exclusions or contrast against gratka_offer.

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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