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Cisco890

mcp-drink-inventory

by Cisco890

seed_demo_inventory

Seeds synthetic demo data into an empty inventory, preventing accidental mixing with existing records. Use when you need sample data for testing.

Instructions

Explicitly seed synthetic data once; refuses to mix with existing unseeded inventory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
allow_demoNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses two behavioral traits: the operation is one-time ('once') and it refuses to run when unseeded inventory exists. However, it does not clarify side effects (e.g., whether it wipes existing data), idempotency, or exactly what happens when the refusal is triggered. Some transparency is present, but significant behavioral gaps remain.

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

Conciseness5/5

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

The description is a single, tightly worded sentence. Every phrase adds information: 'Explicitly' signals deliberate action, 'synthetic data' names the payload, 'once' gives frequency, and the refusal clause states a hard constraint. There is no redundancy or filler.

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

Completeness2/5

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

The tool is simple (one optional boolean parameter, no output schema), but the description is still incomplete. It does not explain the allow_demo parameter, what 'unseeded inventory' means, what the return value is, or what happens on a refusal. An agent would need to guess or inspect other tools to use it correctly.

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

Parameters1/5

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

The schema exposes one parameter, allow_demo, with no description, and schema_description_coverage is 0%. The tool description never mentions this parameter, so an agent cannot determine what allow_demo controls or when to set it to true. The description provides zero value for parameter understanding.

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?

The description uses a specific verb ('seed') with a clear resource ('demo inventory') and a distinguishing scope ('synthetic data once'). It also names a behavioral constraint ('refuses to mix with existing unseeded inventory') that separates it from sibling tools like add_bottle or update_bottle, which operate on real inventory entries.

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?

The phrase 'Explicitly seed synthetic data once' gives clear context for when to use the tool: a one-time demo setup. The refusal clause adds an implicit condition of use - it should not be run when inventory already contains unseeded data. However, it does not explicitly name alternatives or contrast with sibling tools such as add_bottle, so an agent must infer the routing.

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