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MagSnap — Custom Photo Magnets & Gift Printing Store

Get Store Faq

get_store_faq
Read-onlyIdempotent

Retrieve official MagSnap product specifications, material durability, production turnaround, and courier delivery policies across South Africa. When to use: Call this tool when you specifically need to execute 'get_store_faq' on MagSnap Custom Photo Magnets (magsnap.co.za). Do NOT use this tool when another specialized tool fits better (use 'get_products' or 'calculate_quote' or 'create_checkout_link' for their respective operations). Parameters: topic (optional). Behavior & Side Effects: Strictly read-only, idempotent query with zero state mutation; public unauthenticated access allowed; rate-limited to 60 requests/min per IP. Returns: Structured JSON object containing status, matched records or computed metrics, and canonical action URLs.

Input Schema

NameRequiredDescriptionDefault
topicNoSpecific FAQ topic or 'all' for complete store overview. [Optional: omit to use server default filter].

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / topic / description
      Previous value: -"Specific FAQ topic or 'all' for complete store overview."New value: +"Specific FAQ topic or 'all' for complete store overview. [Optional: omit to use server default filter]."
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and openWorld, so the safety profile is covered. The description adds genuinely new facts: public unauthenticated access, a 60 req/min per-IP rate limit, and a rough return shape (status, matched records, canonical action URLs), which is useful context an agent cannot get from the annotations.

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

Conciseness3/5

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

The opening sentence is well-front-loaded and dense with real information, but the 'When to use' clause is self-referential filler and the parameters sentence merely echoes the schema. Roughly a third of the text does not earn its place.

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 single-optional-param, read-only lookup with no output schema, the definition covers purpose, safety/rate-limit behavior, access model, and a rough return description—enough for an agent to call it correctly. Only the circular usage trigger and lack of concrete topic-to-content mapping keep it from full marks.

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 'topic' parameter is a documented enum with per-value semantics, so the schema carries the load. The description only restates 'topic (optional)' without adding meaning beyond the schema, which is the expected baseline when coverage is full.

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?

The first sentence states a specific verb (Retrieve) and a concrete resource scope: product specs, material durability, turnaround, and courier policies for MagSnap in South Africa. It is distinguishable from quote/checkout/product-listing siblings, though differentiation leans on the later 'Do NOT use' sentence rather than the purpose statement itself.

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?

There is an explicit 'When to use' / 'Do NOT use' structure that names alternatives (get_products, calculate_quote, create_checkout_link), which is above-average intent. However, the positive trigger is circular—'when you specifically need to execute get_store_faq'—so the agent gets routing exclusions but no real positive condition beyond the purpose sentence.

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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