Skip to main content
Glama

get_client

Retrieve detailed client information from FreshBooks to manage customer relationships and access billing data.

Instructions

Get full details of a specific client.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The implementation of the 'get_client' tool, which fetches details for a specific FreshBooks client.
    @mcp.tool()
    @_handle_errors
    async def get_client(client_id: int) -> str:
        """Get full details of a specific client."""
        result = await client.accounting_get("users/clients", client_id)
        return _fmt(result.get("client", result))
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 of behavioral disclosure. It states this is a read operation ('Get'), implying it's likely safe and non-destructive, but doesn't clarify permissions, rate limits, error handling, or what 'full details' entails. For a tool with zero annotation coverage, this is insufficient behavioral context.

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 no wasted words. It's front-loaded with the core action ('Get full details'), making it easy to parse quickly. Every part of the sentence contributes directly to understanding the tool's function.

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 low complexity (one parameter) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and incomplete parameter guidance, it lacks details on behavioral aspects like authentication or error cases, making it only partially complete for effective agent use.

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 description mentions 'a specific client,' implying a client_id is needed, which aligns with the input schema's single parameter. However, with 0% schema description coverage, the schema provides no details about the client_id parameter. The description adds minimal semantic value beyond what's inferred from the schema structure, meeting the baseline for low coverage without fully compensating.

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 ('full details of a specific client'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_clients' (which likely returns multiple clients) or 'update_client' (which modifies a client), leaving some ambiguity about when to choose this tool over alternatives.

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 prerequisites (e.g., needing a client_id), exclusions, or comparisons to siblings like 'list_clients' for bulk retrieval or 'update_client' for modifications. This leaves the agent without contextual usage instructions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AlexlaGuardia/MCP-Freshbooks'

If you have feedback or need assistance with the MCP directory API, please join our Discord server