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dragosh29

Breww MCP server

by dragosh29

Get production batch

get_batch
Read-onlyIdempotent

Retrieve complete details for a specific drink batch by ID, including status, brew type, volumes, ABV, gravity, and vessel. Optionally include creator name.

Instructions

One drink batch in full: drink, status, brew type, dates, planned and actual volumes, ABV, starting and final gravity, current vessel and fill, recipe version. Uses GET /drink-batches/{id}/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
batch_idYesBatch ID (a positive whole number)
include_contact_detailsNoInclude the name of the staff member who created the batch. Off by default.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, covering the safety profile. The description adds the returned field set and the underlying endpoint, which is useful context, but says nothing about permissions, error behavior for unknown IDs, or payload size.

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 puts the resource and scope first and the endpoint last. The field enumeration is dense but earns its place given the absence of an output schema.

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?

With no output schema, the description usefully compensates by listing what a batch contains, and the read-only annotations cover mutation risk. Only the missing guidance on the optional contact-details flag and failure modes keeps it short of complete.

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 100%: both batch_id and include_contact_details are documented in the schema, including the default-off behavior of the contact flag. The description adds no parameter detail, so the baseline of 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?

Names a specific verb-and-resource combination ('One drink batch in full') and enumerates the returned fields, so an agent knows it retrieves a single batch record rather than a collection. It contrasts implicitly with list_batches but never names the sibling explicitly.

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 statement of when to use this tool versus list_batches or a hypothetical search tool, nor any prerequisites or conditions. Usage is only inferable from the word 'One' and the single-ID endpoint.

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