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Hedgr FX Risk & Treasury

get_account_status

Read-only

Returns the current state of the user's Hedgr account: which accounting systems, Google Sheets workspaces, CSV/manual cloud workspaces, and setup sections are available. Returns entity_scope: on a workspace that consolidates several entities, entity_scope.ask_user is true and entity_scope carries a scope question with its options (consolidated group, or one named entity with its entity_id). When no usable source is connected, connection_status.state is 'setup_required' and the response carries setup_url and setup_steps. Accounting providers (Xero, QuickBooks, Sage, Holded) supply company settings automatically; Google Sheets and CSV/manual workspaces need Company & reporting completed, and CSV/manual workspaces are readable once saved to cloud.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesTool-specific payload. Null when connection_status.state is 'setup_required'.
connection_statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already establish the safe-read profile, but the description goes further by disclosing conditional response states (entity_scope.ask_user, connection_status.state='setup_required' with setup_url/setup_steps) and per-provider prerequisites (Sheets/CSV need Company & reporting completed). It adds real behavioral context, though some of it overlaps the output schema.

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?

The core purpose is front-loaded, but the bulk of the text is a dense enumeration of return-value nuances that an output schema already exists to carry. Sentences about provider behavior and setup states are informative but not all earning their place for an agent that will also read the output schema.

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?

Return semantics are well covered (and reinforced by an output schema), but an agent in a 27-tool family gets no routing help against close siblings like get_workspace_setup_state or get_platform_capabilities. Adequate but with a clear selection gap.

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?

Zero parameters, so the rubric baseline of 4 applies; the schema fully documents 'No inputs. Returns workspace connection and onboarding status.' There is nothing further for the description to disambiguate.

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 ('Returns the current state of the user's Hedgr account') and enumerates what that state covers (accounting systems, Sheets/CSV workspaces, setup sections). However, it never distinguishes itself from the very similarly scoped sibling get_workspace_setup_state, leaving an agent to guess which to call.

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 is purely declarative about return contents; it never says when to call this tool, when not to, or which sibling covers overlapping needs. The conditional states (setup_required) hint at a preflight check but stop short of an actual usage directive.

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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