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Current RMS MCP by usefulapi

List stores

current_rms_list_stores
Read-only

List the account's stores (warehouses/depots) with their ids and addresses — needed for store_id when creating an opportunity. Current RMS: GET /stores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.3/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe, non-mutating read, so the description's main addition is the underlying endpoint (GET /stores) and the returned fields. It says nothing about pagination, result size, or auth scope, but with annotations covering the safety profile this is adequate if not rich.

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?

A single front-loaded sentence delivers the resource, the returned content, and the downstream use case, followed by a terse endpoint reference. No sentence is wasted.

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

Completeness5/5

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

With no output schema, the description must describe what comes back, and it does — ids and addresses. For a zero-parameter list tool with a readOnly annotation, nothing an agent needs in order to call it correctly is missing.

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?

The tool takes zero parameters, so the schema carries no semantics to supplement and the baseline is 4. The mention of store_id is about a downstream consumer of this output rather than an input here, so it adds no parameter meaning but also costs nothing.

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 specific verb (List) and resource (the account's stores), disambiguated as 'warehouses/depots', and even previews the returned data (ids and addresses). An agent can distinguish this from list_products/list_members/list_invoices without inspecting any schema.

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?

Gives a concrete when-to-use trigger — you need this to obtain store_id when creating an opportunity — which directly links it to a sibling workflow. It stops short of naming the alternative tool or stating any exclusions, so it is clear context rather than full routing guidance.

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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