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Get inventory position

get_inventory_position
Read-onlyIdempotent

Reads stock and inventory measures for products in the current work-unit snapshot. It has no outlet breakdown or aggregation.

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.

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 declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new behavioral context beyond that: results reflect a point-in-time work-unit snapshot, and outlet breakdown and aggregation are deliberately absent, which shapes what an agent should expect from the output.

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, zero filler, with the positive scope stated before the exclusions. Every clause carries information an agent can act on.

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?

With an output schema present, return values need not be explained, and annotations cover the safety profile. The description supplies the essential scope and limitation context; only explicit guidance on when to prefer this over other inventory-related views is missing.

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% and both parameters are optional, so the schema already documents 'category' and 'entity_name' semantics fully. The description adds nothing about how these filters interact with the snapshot scope, making the baseline 3 correct.

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?

States a specific verb and resource ('Reads stock and inventory measures for products') plus the scope ('current work-unit snapshot'), which is far more than the tautological title. It does not name a sibling tool, but the negative scope ('no outlet breakdown or aggregation') implicitly separates it from any tool that would offer those views.

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?

The description implies when the tool is appropriate by bounding the data it returns, but it never states an explicit when-to-use condition or names an alternative tool for outlet-level or aggregated inventory. Usage must be inferred from the scope limitation.

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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