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MagSnap — Custom Photo Magnets & Gift Printing Store

get_products

Fetch all available MagSnap photo magnet products, categories, pricing, and specs in South Africa (ZAR).

Input Schema

NameRequiredDescriptionDefault
category_idNoOptional category ID to filter products by (e.g. 1 for Photo Magnets, 2 for Puzzles).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses scope (all available products) and locale/currency (South Africa, ZAR), but says nothing about pagination, result size limits, auth requirements, or what happens when the optional category filter matches nothing.

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?

One front-loaded sentence with the resource and scope stated immediately and no filler. Nothing could be removed without losing information.

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 zero-required-parameter read tool with a fully described schema and no output schema, the description covers the essentials. The only gap is not indicating whether the result set is paginated or complete, which matters given the "all available" claim.

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 coverage is 100% and the single optional category_id is fully documented with examples in the schema, so the baseline is 3. The description does not reinforce the filter's behavior; its use of the word "categories" refers to returned content, which is mildly ambiguous against the category_id filter parameter.

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 description names a specific verb ("Fetch") and a concrete resource set (products, categories, pricing, specs) scoped to South Africa/ZAR, so the agent knows exactly what it returns. It does not differentiate itself from siblings such as calculate_quote or get_store_faq, but those are distinct enough that confusion is unlikely.

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: the agent can infer this is the catalog lookup to call before quoting or checking out. There is no explicit "use this when..." statement, no mention of an alternative for filtered or single-product lookups, and no prerequisites noted.

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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