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Get product details

get_product
Read-onlyIdempotent

Full details of one Seduction.lk product: description, price in LKR, stock, brand, categories, ingredients, skin types and concerns it is for, rating and its link. Use the id or the slug from search_products.

Input Schema

NameRequiredDescriptionDefault
productYesProduct id or slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered structurally. The description adds value by enumerating the payload an agent will get back (price in LKR, stock, ingredients, skin types, rating, link), which matters because no output schema exists. It does not mention behavior on a missing/invalid id, which is the main remaining gap.

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

Conciseness4/5

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

Two sentences, front-loaded with the core purpose, and the field enumeration is justified by the absence of an output schema. The list is slightly dense ("rating and its link"), but no sentence is wasted.

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-parameter read tool with no output schema, the description covers purpose, input source, and return contents adequately. Only the not-found/error behavior is left unstated, which is a minor omission given the annotations already cover read safety.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description goes beyond the schema's "Product id or slug" by telling the agent where to obtain a valid value (from search_products). It adds provenance rather than restating the type.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ("Full details of one Seduction.lk product") and enumerates exactly which fields are returned, so an agent can distinguish it from search_products or list_categories without opening the schema. The scope is unambiguous: one product, by id or slug.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Use the id or the slug from search_products" gives clear context for when this tool applies — after a search — and implicitly routes the agent to the right sibling for discovery. It stops short of stating exclusions (e.g. that it should not be used to browse or filter a list), so it is a 4 rather than a 5.

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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