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qmmughal

Tarigri Surgical MCP Server

by qmmughal

Get product

get_product
Read-onlyIdempotent

Retrieve complete product details by SKU, including price, MOQ, volume tiers, material, size, description, and URL, to support catalog lookup and quote preparation.

Instructions

Get full details for one product by SKU: price, MOQ, volume tiers, material, size, description, URL.

Input Schema

NameRequiredDescriptionDefault
skuYesProduct SKU, e.g. NH-301

Output Schema

NameRequiredDescriptionDefault
productYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and repeatability profile is fully covered without the description. The description adds only the field list of the response, and says nothing about behavior when a SKU is unknown (error vs empty) or about freshness of pricing data — modest added value given the strong annotation coverage.

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 lookup key and returned fields, no preamble or filler. The trailing field enumeration is slightly redundant against the output schema, which keeps it just short of a 5.

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 tool with an output schema and full annotation coverage, this is nearly complete: the key, the scope and the returned content are all stated. Only the not-found behavior is left unaddressed, which is a minor gap at this complexity level.

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% and the single sku parameter already carries a format example ('NH-301'), so the schema does the work. The description only repeats 'by SKU' without adding lookup semantics such as case sensitivity or accepted SKU formats beyond the schema example.

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 verb and resource — 'Get full details for one product by SKU' — and enumerates the fields returned (price, MOQ, volume tiers, material, size, description, URL). This clearly separates it from search_products and list_categories by scope (single product, keyed by SKU), though it never names those siblings explicitly.

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?

The phrase 'one product by SKU' implies this is the single-record lookup rather than a browse/search call, so the intended use is inferable. There is no explicit when-to-use or when-not-to-use guidance, and no routing to search_products or estimate_quote for the related tasks the siblings cover.

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