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MCP-Mirror
by MCP-Mirror

get_all_accounts

Retrieve all Brex accounts with pagination and filtering options to manage financial data access.

Instructions

Get all Brex accounts with pagination support

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_sizeNoNumber of items per page (default: 50, max: 100)
max_itemsNoMaximum total number of items to retrieve across all pages
statusNoFilter accounts by status

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'pagination support,' which is useful context beyond the input schema, but fails to describe critical behaviors like rate limits, authentication needs, error handling, or what the return format looks like (e.g., list structure, metadata). For a read operation with pagination, this leaves significant gaps.

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?

The description is a single, efficient sentence that front-loads the core purpose ('Get all Brex accounts') and adds a key behavioral trait ('with pagination support'). There is no wasted verbiage, and every word earns its place, making it highly concise and well-structured.

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?

Given the tool's moderate complexity (pagination, filtering), lack of annotations, and no output schema, the description is minimally adequate but incomplete. It covers the basic purpose and hints at pagination but misses details on return values, error cases, and usage context. It's sufficient for a simple read tool but could be more comprehensive.

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?

The input schema has 100% description coverage, providing clear details for all three parameters (page_size, max_items, status). The description adds no additional parameter semantics beyond what's in the schema, such as default behaviors or interaction effects. According to the rules, with high schema coverage (>80%), the baseline is 3 even without param info in the description.

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 clearly states the verb ('Get') and resource ('all Brex accounts'), making the purpose unambiguous. It distinguishes from sibling tools like 'get_account_details' by specifying it retrieves all accounts rather than details of a specific one. However, it doesn't explicitly differentiate from other list tools like 'get_all_expenses' beyond the resource name.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to prefer 'get_all_accounts' over 'get_account_details' or other sibling tools, nor does it specify prerequisites or exclusions. The mention of 'pagination support' hints at usage for large datasets but isn't explicit guidance.

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