A2A Grocery — the agentic hub for retail grocery procurement

Get Item

get_item

Read-onlyIdempotent

Product record from gtinfetch.ai (signed); hub layer: seat, market, claim, price, availability. One item by GTIN (EAN in European copy), fully resolved: temperature, department → super category → category, attribute lanes, pack, brand and maker, market, claim status, market status, availability; after the gate also ingredients, allergens, claims, origin, certificates, variants and offers.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "gtin": "<gtin>"
    },
    "name": "get_item"
  }
}

Input Schema

Name	Required	Description	Default
`gtin`	Yes
`market`	No
`decision_id`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 2, 2026

TDQS

B3.3/5.0

Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior, so the bar is lower; the description adds useful context such as the 'signed' hub source and the two-tier response ('gate' gating additional fields like ingredients, allergens, certificates). It still omits auth/permission requirements and rate-limit or pagination behavior.

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

Conciseness3/5

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

It is a single sprawling sentence that front-loads a confusing clause ('Product record from gtinfetch.ai (signed); hub layer: seat, market, claim, price, availability') before the actual purpose. Listing many return fields is low-value filler, though it is not egregiously long.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, enumerating return fields is redundant, and the description leaves decision_id and the market parameter ambiguous. Annotations cover the safety profile adequately, but parameter-level completeness for a 3-param tool is only marginal.

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?

Schema description coverage is 0%, so the description must carry the parameter burden. It partially helps: gtin is clarified as GTIN/EAN in European copies, and market is at least mentioned, but decision_id is entirely unexplained and the market parameter is indistinguishable from the market field in the return payload.

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 states a clear verb+resource: retrieving one product record by GTIN, described as 'fully resolved.' However, it is heavy with internal jargon ('hub layer: seat, market, claim, price, availability') and never distinguishes itself from siblings like get_price, get_availability, or get_label_and_claims, so an agent must infer the scope difference.

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 explicit when-to-use guidance and no named alternatives against the many sibling tools that cover overlapping facets (price, availability, market status, claims). The phrase 'after the gate also...' hints at a gating prerequisite but leaves the condition unstated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All A2A Grocery — the agentic hub for retail grocery procurement tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.