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update_customer

Modify customer details like name, email, or location in Lemon Squeezy by providing the customer ID and updated information.

Instructions

Update an existing customer's information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerIdYesThe customer ID
nameNoOptional: Customer name
emailNoOptional: Customer email
cityNoOptional: Customer city
countryNoOptional: Customer country
regionNoOptional: Customer region/state
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Update an existing customer's information' implies a mutation operation, but it doesn't disclose what permissions are required, whether changes are reversible, what happens to fields not specified, or what the response looks like. This is inadequate for a mutation tool with zero annotation coverage.

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 wasted words. It's appropriately sized for a straightforward update operation and gets directly to the point without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens when fields are omitted (partial updates?), what validation occurs, what error conditions exist, or what the tool returns. The agent would need to guess about important behavioral aspects.

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?

Schema description coverage is 100%, so the schema already documents all 6 parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema (e.g., it doesn't explain relationships between parameters or provide usage examples). Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('update') and resource ('existing customer's information'), making the purpose understandable. It distinguishes from obvious siblings like 'create_customer' and 'get_customer', but doesn't explicitly differentiate from other update tools like 'update_license_key' or 'update_subscription'.

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 an existing customer ID), when not to use it, or how it differs from other customer-related tools like 'sync_customer_to_crm' or 'archive_customer'.

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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