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jdlar1

Siigo MCP Server

by jdlar1

siigo_get_account_groups

Retrieve the account groups catalog from Siigo accounting software to organize and categorize financial accounts for reporting and analysis.

Instructions

Get account groups catalog

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • MCP tool handler that executes the tool logic by calling SiigoClient.getAccountGroups() and returning the result as formatted JSON text content.
    private async handleGetAccountGroups(args: any) {
      const result = await this.siigoClient.getAccountGroups();
      return { content: [{ type: 'text', text: JSON.stringify(result, null, 2) }] };
    }
  • Core implementation in SiigoClient that performs the authenticated GET request to the Siigo API endpoint /v1/account-groups.
    async getAccountGroups(): Promise<SiigoApiResponse<any>> {
      return this.makeRequest<any>('GET', '/v1/account-groups');
    }
  • src/index.ts:712-716 (registration)
    Tool registration in the getTools() method, defining the tool name, description, and input schema (no required parameters).
    {
      name: 'siigo_get_account_groups',
      description: 'Get account groups catalog',
      inputSchema: { type: 'object', properties: {} },
    },
  • Input schema definition for the tool, specifying an empty object (no input parameters needed).
    inputSchema: { type: 'object', properties: {} },
  • Dispatch case in the CallToolRequest handler switch statement that routes to the specific tool handler.
    case 'siigo_get_account_groups':
      return await this.handleGetAccountGroups(args);
Behavior2/5

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

No annotations are provided, so the description carries the full burden. 'Get' implies a read operation, but it doesn't disclose behavioral traits like whether it's safe (non-destructive), requires authentication, has rate limits, returns paginated results, or handles errors. For a tool with zero annotation coverage, this is a significant gap in transparency.

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 with zero waste. It's front-loaded with the core action and resource, making it easy to parse. Every word earns its place by conveying the essential purpose without unnecessary elaboration.

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 simplicity (0 parameters, no output schema, no annotations), the description is minimally complete. It states what the tool does but lacks context on behavior, usage, or output. For a read operation with no structured data, it should ideally add more about return values or constraints to be fully helpful.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is appropriate. Baseline is 4 for 0 params, as it avoids redundancy. No compensation is required since there are no parameters to explain.

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 'Get account groups catalog' clearly states the verb ('Get') and resource ('account groups catalog'), making the purpose understandable. It distinguishes from siblings by focusing on account groups rather than invoices, customers, products, etc. However, it doesn't specify what 'catalog' entails (e.g., list, details, structure), leaving some ambiguity compared to a perfect 5.

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. With siblings like 'siigo_get_accounts_payable' and 'siigo_get_trial_balance', it's unclear if this tool is for general account group listing, specific filtering, or other contexts. No exclusions or prerequisites are mentioned, leaving the agent to infer usage from the name alone.

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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