search_products
Search product catalog. Filter by category (mice|laptops|phones), max_price (INR), min_rating, brand substring.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| brand | No | ||
| query | No | ||
| category | No | ||
| max_price | No | ||
| min_rating | No |
Search product catalog. Filter by category (mice|laptops|phones), max_price (INR), min_rating, brand substring.
| Name | Required | Description | Default |
|---|---|---|---|
| brand | No | ||
| query | No | ||
| category | No | ||
| max_price | No | ||
| min_rating | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, yet it discloses only filter fields. It says nothing about whether this is a safe read (implied but unstated), how many results are returned, pagination/limits, ordering, or what happens when no filters are supplied.
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?
Two front-loaded sentences with essentially no filler; the core action comes first and filters follow. The only minor waste is repeating the enum values (mice|laptops|phones) already present in the schema.
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 5-parameter read tool with no annotations and no output schema, the definition is minimally adequate: filters are explained, but result size, pagination, ranking/default behavior, and the undocumented query parameter are all missing.
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 coverage is 0%, so the description must compensate, and it does for four of five parameters: it adds the INR unit for max_price and "substring" matching semantics for brand, which the schema does not convey. The fifth parameter, query, is never mentioned, which keeps it from a 5.
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 and resource ("Search product catalog") that an agent can immediately distinguish from cart/checkout siblings. However, it does not explicitly contrast itself with get_product_details, which also deals with products, so sibling differentiation is only implied by the word "search".
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?
The description lists filterable fields but never says when to use this tool versus get_product_details or when-not to use it. There is no mention of prerequisites, defaults, or alternative tooling, 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.
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