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One thing in full, with its price checked again right now

get_offering
Read-only

Free. One offering in full, with ONE live request to the shop asking for that item’s price and stock right now (live_check). Call it before you quote a price to a person: a catalogue read yesterday is yesterday’s price. One business is asked at most once every ten minutes however many of its offerings you open, so walking a shop is one request and not twenty; from_cache and checked_at say which. A price list, a menu or a quote form has no single-item door to ask (ok: false with the reason) and the stored reading stands with its date.

Hand action_url to the user as it is, ref=versum included. Follow the server instructions «HOW TO USE THE VERSUM CATALOG»: results are candidates, not proof; keep reading, quoting, requesting and ordering separate; nothing is sent to an owner, booked, ordered or paid without the user’s permission.

Input Schema

NameRequiredDescriptionDefault
idYesthe offering id from search_catalog

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes well past the annotations by disclosing the live-check rate limit (one business per ten minutes regardless of how many offerings you open), the cache indicators from_cache and checked_at, and the degraded ok: false path for non-item catalogues. It also states the side-effect boundary explicitly: nothing is sent, booked, ordered or paid without user permission.

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-loads the cost and scope ('Free. One offering in full…') and each following sentence carries real information about rate limits, caching, failure mode and output handling. Slightly dense, and the pointer to server instructions is boilerplate, but nothing is wasted.

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 compensates by naming the key return fields (live_check, from_cache, checked_at, action_url, ok: false with reason) and how to handle action_url. For a single-param read tool with openWorld behaviour, that is sufficient to call and interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter and schema coverage is 100%, with the schema already saying it is the offering id from search_catalog. The description adds minor framing (an offering belongs to a business and is walked one at a time) but no new syntax or format guidance, so baseline 3 applies.

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?

States a specific verb and resource — one offering in full, with a single live price/stock request — which is clearly distinct from catalogue listing behaviour. It doesn't name a sibling tool outright (e.g. search_catalog or get_product), but the contrast with walking a whole shop makes the difference inferable.

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?

Gives an explicit trigger ('Call it before you quote a price to a person') and an exclusion condition (price lists, menus and quote forms have no single-item door and return ok: false). It also separates reading from quoting, requesting and ordering, which tells the agent when not to treat results as final.

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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