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agent-bev

by ai.agent-bev
OverviewDiscussionsAdmin

Get record

get_record
Read-onlyIdempotent

Read one product in full by record_id: every field with its source page, reader and state; its CUVEE; its claim status; the signed record (JWS).

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": {
      "record_id": "<record_id>"
    },
    "name": "get_record"
  }
}

Input Schema

NameRequiredDescriptionDefault
record_idYesthe record id, <node>:<6 digits>, e.g. es-bev:000123

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / record_id / description
      Added value: +"the record id, <node>:<6 digits>, e.g. es-bev:000123"
  2. Changed1 schema field changed
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so safety is covered. The description adds genuine behavioral context beyond that: it discloses the payload contents (provenance fields, CUVEE, claim status, and a signed JWS record), which matters because there is no output schema.

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 with the verb and key filter first, followed by a dense but relevant enumeration of returned fields. No wasted framing, though the semicolon-separated field list is slightly heavy to parse.

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?

For a one-parameter read-only tool with no output schema, describing the return contents compensates well. It omits error behavior (invalid/unknown record_id) and auth expectations, which is the remaining gap for a lookup tool.

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 coverage is 100% and the schema already documents record_id including its '<node>:<6 digits>' format. The description only restates 'by record_id', adding no new syntax, constraints, or failure semantics, so the baseline 3 applies.

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 ('Read one product in full by record_id') and immediately enumerates what 'in full' means (every field with source page, reader, state, CUVEE, claim status, JWS). This is clearly a single-record fetch, distinguishable from list/query siblings such as search_drinks and compare_drinks.

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?

The description never says when to reach for this tool versus search_drinks or any other sibling, nor does it state prerequisites (e.g., needing a valid record_id obtained elsewhere). Usage is only weakly implied by the verb 'Read one product'.

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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