Search Digikala products and return normalized results with prices and availability, enabling AI clients to find items and compare offers.
Search Digikala and return normalized products.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
v0.6.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full behavioral burden, and it discloses almost nothing: no rate limits, no pagination behavior, no auth requirements. The only hint ('normalized products') gestures at return handling, which the output schema already covers.
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 front-loaded sentence with no filler. It is efficient, though the brevity is partly under-specification rather than disciplined conciseness.
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?
The output schema covers return values, so that need not be described. However, with no annotations, no parameter documentation, and no usage guidance, the definition is too thin for a search tool competing with multiple sibling search and lookup tools.
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?
Two parameters (query, limit) with 0% schema description coverage, and the description explains neither. It doesn't state what 'query' accepts, whether 'limit' is a page size or a cap, or how results are ordered, so the schema gap is left entirely unfilled.
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 (Digikala) plus the output shape (normalized products). Naming the platform differentiates it from search_snappshop, but it doesn't clarify how it differs from get_digikala_product or the comparison tools.
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?
No when-to-use guidance, no exclusions, and no routing to alternatives. An agent must guess whether this or get_digikala_product is appropriate for a given query.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.