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Red by Big Red Cloud

List Customers

brc_list_customers
Read-only

Lists BRC customers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNo
pageNo
skipNo
filterNoUnsupported: BRC customers forbid $filter. List with pagination and match locally.
orderByNoOptional OData $orderby expression, only if this endpoint supports ordering.
pageSizeNo
companyNameYesCompany context name, for example YOUR-COMPANY-NAME.
connectionRefNoOpaque Red connection reference returned by brc_confirm_company_connection. Pass this exact value on every later tool call when the MCP client rotates session ids (for example Vibe/Mistral). Keep reusing the same connectionRef after successful tool calls — do not start a new connection because a lookup returned empty or partial data. It is not an API key and does not contain credentials.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / filter / description
      Previous value: -"Optional OData $filter expression, only if this endpoint supports filtering."New value: +"Unsupported: BRC customers forbid $filter. List with pagination and match locally."
  2. First observed

TDQS

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond that — no note about pagination semantics, the $filter prohibition (which lives only in the schema), or the connectionRef continuation requirement.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

A single front-loaded sentence with zero padding, which is structurally clean. However, this is brevity through under-specification rather than earned conciseness, so it cannot score higher.

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

Completeness1/5

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

For an 8-parameter, no-output-schema tool, a four-word description is inadequate. It omits pagination behavior, the filter limitation, ordering support, and the required connection/company context, leaving the agent dependent on scattered schema hints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Eight parameters with only 50% schema description coverage, and the description mentions none of them. It does not compensate for the undocumented top/page/skip/pageSize/orderBy parameters or explain the required companyName, so the agent gains no semantic help beyond the raw schema.

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 states a clear verb+resource ('Lists BRC customers'), so an agent knows the general operation. But it offers no differentiation from close siblings such as brc_list_customers_without_dormant, brc_batch_customers, or brc_get_customer, leaving the agent to guess which list variant to pick.

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, no mention of prerequisites, and no routing to alternatives. The agent must infer usage purely from the name and the surrounding sibling list.

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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