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Javiervalladares1

compu-ai-mcp

check_availability

Read-only

Determine real-time stock for a SKU by subtracting reserved units from on-hand inventory, ensuring accurate availability before making customer commitments.

Instructions

Check how many units of a SKU are really available right now (on hand minus reserved). Use this before promising anything to a customer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.4/5.0
Behavior4/5

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

The read-only annotation is consistent with the check action, and the description adds the calculation formula, though it does not discuss auth or rate limits.

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?

Two concise sentences convey purpose, formula, and usage without unnecessary detail.

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 simple single-parameter read tool, the description is complete enough; it clarifies the meaning of availability and when to call it, though it leaves the exact output format implicit.

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?

The description identifies the parameter as a SKU but does not specify format, validation, or examples, so it adds only basic meaning beyond the schema.

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 clearly states the tool checks available units for a SKU, with a specific formula (on hand minus reserved), distinguishing it from product detail or price tools.

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?

It gives an explicit usage directive: use before promising anything to a customer, making the intended context clear.

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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