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Read one product in full

get_product

Read one SecuresVault product in full: EUR price, description, and the colour/size variants available. Takes the id returned by search_products. Use before describing a specific product to a user, so the price and options quoted are live rather than remembered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesProduct id from search_products, e.g. "6a3ae6785b1e1d13f9bde9e2".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are present, so the description carries the burden. It discloses that this is a non-mutating read and that data is live rather than cached or remembered. It stops short of describing error behavior or the response envelope, which is a moderate gap for a tool with no output schema.

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?

Three short sentences front-load the operation and payload, then give the usage context and data-freshness rationale. No filler or repeated schema details.

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 lookup with no output schema, the description covers what the tool returns, where the id comes from, and when to call it. It omits error cases, but the core information an agent needs to select and invoke it is present.

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?

The single id parameter is fully documented in the schema, including provenance from search_products and an example value. The description merely reiterates that the id comes from search_products, so it adds little beyond the schema, meeting the baseline for full schema coverage.

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?

States a precise verb and object: reads a single SecuresVault product by id, and enumerates the fields it returns (EUR price, description, colour/size variants). This clearly differentiates it from search_products, which returns a list of matches.

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?

Provides an explicit invocation context: use it before describing a concrete product so prices and options are live, and tells the caller the id comes from search_products. It does not enumerate exclusions or contrast with list_categories, but the intended trigger is clear.

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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