Alshhbaa Copperware — نحاسيات الشهباء
Server Details
Luxury chandeliers and lighting catalog MCP server for shop.alshhbaa.com
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- Alshhbaa/alshhbaa-agent-kit
- GitHub Stars
- 0
TDQS
Scored across 2 tools
read_docs targets documentation and search_products targets product discovery — completely distinct resource/purpose pairs with no overlap. An agent can instantly tell which tool to call for docs versus products.
Both tools follow a clean verb_noun snake_case pattern (read_docs, search_products) with no stylistic deviation.
Two tools is thin for a store-facing server; even a deliberately read-only scope would typically warrant product detail, category, or pricing lookups. It is defensible but minimal.
The read-only, non-mutating design is coherent, but the surface is shallow: search returns suggestions with no get_product-by-id, category browsing, or pricing/inventory detail, which will force agents into dead ends after a search.
Available Tools
2 toolsread_docsRead Alshhbaa Store Developer DocsBRead-onlyInspect
Read Alshhbaa Store API, auth, pricing, OpenAPI, llms.txt, agent skills, and MCP developer documentation.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | Documentation path to read (e.g. "/openapi.json", "/auth.md", "/developers"). |
Output Schema
| Name | Required | Description |
|---|---|---|
| content | Yes | |
| structuredContent | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe, non-mutating read. The description adds the useful scope information that these are static developer docs across several formats, but says nothing about response size, truncation, caching, or whether paths are case-sensitive. With annotations covering the safety profile, this is adequate but thin.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence, front-loaded with the verb and resource, with zero filler. The comma-separated topic list is slightly dense but each item corresponds to real enum values rather than padding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter read tool with an output schema, annotations, and 100% schema coverage, the definition is complete enough to invoke correctly. Return values need not be explained given the output schema, and the only real gap is guidance on choosing among the enumerated paths.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the single parameter is a fully enumerated path list with an example, so the schema carries the semantic load. The description's topic list loosely maps to those enum values but adds no new meaning (no format distinctions, no guidance on /llms.txt vs /llms-full.txt). Baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description gives a specific verb (Read) plus the resource (Alshhbaa Store developer documentation) and enumerates the content areas covered — API, auth, pricing, OpenAPI, llms.txt, agent skills, MCP. An agent can tell this is a documentation fetch tool. It makes no reference to the sibling search_products, though that sibling is in a different domain, so differentiation matters less.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, nor any hint about which path is appropriate for a given intent. The description merely lists topic names that are already enumerated in the schema, leaving the agent to infer usage entirely.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_productsSearch Alshhbaa Store ProductsARead-onlyInspect
Search public Alshhbaa Store product suggestions without mutating cart or checkout.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of product suggestions to return (1-20). Defaults to 5. | |
| query | Yes | Search query for luxury lighting, chandeliers, lamps, and brass crafts (e.g. "ثريا", "chandelier"). |
Output Schema
| Name | Required | Description |
|---|---|---|
| content | Yes | |
| structuredContent | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safety profile is covered; the description reinforces this with 'without mutating cart or checkout,' which adds minor domain context (cart/checkout are untouched). It discloses nothing further about pagination, limits behavior, or result quality, and an output schema already covers return shape.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single tight sentence that front-loads the verb and resource with no filler. It is arguably too terse to earn a 5, but nothing is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only search with a fully documented schema and an existing output schema, the description covers the essentials. The one gap is the absence of any routing guidance, though the single unrelated sibling makes this low-risk.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%: both 'query' (with examples) and 'limit' (range and default) are fully documented in the schema. The description adds no syntax, format, or semantic detail beyond what the schema provides, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (search) and resource (public Alshhbaa Store product suggestions), which is clear and distinct from the only sibling read_docs. It does not explicitly name or contrast with any alternative search tool, but the domain is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: search when you want product suggestions. The phrase 'without mutating cart or checkout' hints at a read-only lookup context but gives no explicit when-to-use or when-not-to-use conditions, and no alternatives are mentioned (read_docs is unrelated).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
read_docs - First observed
search_products
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