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get_specs

Retrieve a product's full specification table by product ID, grouped by category, to compare details and verify features before buying.

Instructions

Full specification table of a product as {group: {label: value}}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: it does not state that this is a read operation, what happens for an unknown product_id, or whether the spec groups are stable. The only behavioral hint is the return shape, 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.

Conciseness4/5

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

A single short sentence with the resource front-loaded and zero filler. It is efficient, though it is arguably too terse to be complete rather than genuinely concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description need not explain return values, and the shape notation is a mild bonus. But for a tool with no annotations and no sibling differentiation, the definition leaves the agent without enough context to choose it confidently over get_product.

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?

Schema description coverage is 0%, so the single product_id parameter is undocumented in both places. The phrase 'of a product' weakly implies product_id identifies the target product, but no format, source, or constraints are given; the obvious integer ID keeps this from being a serious failure.

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

Purpose3/5

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

The description identifies the resource (a product's full specification table) and implies retrieval, so the intent is recoverable. However, it is a noun phrase rather than a verb+resource statement, and it never distinguishes itself from the sibling get_product, which plausibly returns overlapping product data.

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

Usage Guidelines2/5

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

There is no when-to-use guidance and no mention of alternatives. With siblings like get_product and search_products, an agent gets no signal about when the spec table is the right call versus the general product lookup.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.