Skip to main content
Glama

Get product master

get_product_master
Read-onlyIdempotent

Reads price, cost, margin and lifecycle fields for products in the current work-unit snapshot. Products outside that snapshot are not included.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoCategory name to narrow the visible lines to, as shown in the workspace.
entity_nameNoEntity name exactly as the user wrote it.
supplier_nameNoSupplier name to narrow the visible lines to.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYesOne row per product line: sku, product, category, supplier, then the line's own measures.
scopeYesWhat population the rows were read from.
truncatedYesTrue when more rows matched than were returned.
populationNoPresent on an unfiltered read: a reminder the rows are a slice, not the whole business.
evidence_idYesHandle for these rows within this call's results. Not a citation.
completenessNoPresent when nothing matched: what the empty result does and does not mean.
returned_rowsYesRows in this response.
inputs_not_appliedNoInputs the snapshot could not apply.
source_evidence_idsYesWorkspace evidence IDs backing these rows. Empty when the source carries no evidence records.
total_matching_rowsYesRows that matched before any limit.
excluded_rows_without_metricNoRows left out of a ranking because they carry no figure for the metric.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already fully cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description still adds a genuine behavioral constraint beyond the structured fields: results are limited to the current work-unit snapshot and out-of-snapshot products are excluded, which is real value for interpreting completeness of results.

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?

Two short sentences with zero waste: the first states what is read, the second states the scope limitation. The most important constraint (snapshot boundary) is front-loaded alongside the field list.

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?

An output schema exists, so return-value documentation is not required, and the description is sufficient for correct invocation. It is close to complete, though it could say a bit more about how the three filters combine or whether the read is always scoped by entity.

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 100%, so the three filter parameters (category, entity_name, supplier_name) are already documented in the schema; the baseline of 3 applies. The description adds no syntax, matching behavior, or interaction semantics for these filters beyond what the schema states.

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

Purpose4/5

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

The description gives a specific verb ('Reads') plus the resource (products) and names the field groups returned (price, cost, margin, lifecycle), so an agent knows what the tool surfaces. It does not, however, explicitly contrast itself with nearby siblings such as twelfth_list_products or get_inventory_position.

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

Usage Guidelines3/5

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

Usage is implied by the 'current work-unit snapshot' scoping statement, which signals the context in which results are valid, but there is no explicit when-to-use or when-not-to-use guidance and no alternative tool is named. An agent must infer routing decisions on its own.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources