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chrischall

freshbooks-mcp

by chrischall

freshbooks_create_client

Create a new client in FreshBooks. Preview changes first; pass confirm: true to save the client.

Instructions

Create a client (customer) in FreshBooks. Requires confirm: true to execute; without it returns a dry-run preview and makes no network call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoClient's email address
fnameNoFirst name
lnameNoLast name
fieldsNoAdditional raw FreshBooks client fields, merged into the payload.
confirmNoMust be true to proceed. Without this, the tool returns a preview.
organizationNoCompany / organization name
currency_codeNoCurrency code, e.g. "USD"
Behavior4/5

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

Discloses a non-obvious behavioral trait: the tool will not execute without confirm: true and returns a dry-run preview with no network call. Since no annotations exist, this is valuable transparency about the execution model, though it could also mention return values or error handling.

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?

Two short sentences that immediately state the purpose and the critical precondition. No filler or redundant content.

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?

The description explains core behavior and the confirm flag, but with no output schema it does not mention return values or what the dry-run preview contains. The nested fields parameter and error handling are left entirely to the schema, leaving some context gaps.

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 covers all 7 parameters with descriptions, and the tool description adds no additional parameter semantics. Baseline 3 applies because schema coverage is 100%.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a client (customer) in FreshBooks, using a specific verb and resource. The parenthetical '(customer)' adds clarity, and it naturally distinguishes from sibling list/get tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides the critical usage rule that confirm: true is required to execute and that without it a dry-run preview is returned. However, it does not explicitly compare to alternative tools or state when not to use it, so guidance beyond the confirm flag is implied rather than explicit.

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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