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Dolphin Centrifuge

Check Dolphin stock

check_dolphin_stock
Read-onlyIdempotent

Dated list of Alfa Laval centrifuges in stock at Dolphin Centrifuge (Warren, Michigan): model, type, condition and whether the unit is in stock or built to order. No prices or serial numbers.

Input Schema

NameRequiredDescriptionDefault
modelNoOptional model or family filter, e.g. "MOPX 207" or "WHPX". Omit for the full list.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description's added value is the content scope: the 'Dated' qualifier warns the list may be stale, the inventory state (in stock vs. built to order) is disclosed, and the exclusion of prices/serial numbers prevents wasted follow-up calls. Return format/timing is still unspecified.

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 listing vendor, location, and returned fields with zero filler. The word 'Dated' is slightly ambiguous (data freshness vs. dates) but the sentence is otherwise tight.

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 enumerates what comes back (model, type, condition, availability) and what does not (prices, serial numbers), plus the vendor/location scope. It could clarify that the sole parameter filters this same list, but nothing essential for a correct call is missing.

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?

With 100% schema description coverage and one optional, self-documenting filter, the schema carries the parameter guidance. The description adds no filter syntax or behavior of its own, so the baseline 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?

States a specific resource (Alfa Laval centrifuges in stock at Dolphin Centrifuge, Warren MI) and enumerates the returned fields (model, type, condition, stock vs. built-to-order), which an agent can use to tell it apart from get_centrifuge_specs or list_centrifuge_models. It does not, however, explicitly name or contrast itself with those siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied via the resource ('in stock at Dolphin') and the negative scope ('no prices or serial numbers'), which steers an agent away from a pricing query but does not say when to prefer this over list_centrifuge_models or request_quote. No explicit when-not conditions or named alternatives.

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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