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Glama

create_customer

Create a new billing customer in your organization. The organization is fixed by your context - never pass an organization id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCustomer name (required).
countryNoOptional country.
currencyNoOptional ISO 4217 currency code (e.g. USD, EUR). Defaults to USD.
descriptionNoOptional customer description (max 200 characters).
contact_emailNoOptional primary contact email address.
idempotency_keyNoOptional caller-supplied key; retrying with the same key returns the original result instead of acting twice.

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states the tool creates a customer (implies mutation) but does not disclose any behavioral traits such as required permissions, idempotency behavior, rate limits, or what happens on success/failure. The note about not passing organization ID adds some 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 sentence that is front-loaded with the key action and context. It is concise with no wasted words.

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 covers the essential purpose but lacks information about return values, error handling, or behavioral context beyond creation. Given the absence of an output schema and annotations, the description could be more complete, but it is minimally adequate.

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 fully documents all parameters. The description adds no extra meaning beyond the schema, except for the note about not passing organization ID (which is not a parameter). Baseline 3 is appropriate.

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 action ('Create'), the resource ('billing customer'), and the scope ('in your organization'). It distinguishes from sibling tools like update_customer, delete_customer, and list_customers.

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

Usage Guidelines4/5

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

The description provides a clear usage note: 'The organization is fixed by your context - never pass an organization id.' This guides proper usage but does not explicitly state when to use this tool versus alternatives, though the context makes it sufficiently clear.

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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TDQS

B3/5.0
Disambiguation2/5

Multiple tools have overlapping purposes, e.g., create_time_report and log_time both create a single time entry with near-identical descriptions. There are also many similar getter/list tools that blur together, making it hard for an agent to select the right one.

Naming Consistency2/5

Most tool names use snake_case, but verbs are inconsistent: 'list' vs 'get' for similar operations, 'manage' combines create/update/delete, and 'use_favorite' is an outlier. This pattern reduces predictability.

Tool Count1/5

With 114 tools, the set is extremely large and far beyond a well-scoped server (typical 3-15). This overwhelms agents and suggests many tools could be consolidated or removed.

Completeness3/5

The tool surface covers a broad domain including customers, projects, tasks, time tracking, invoicing, and user management, but there are gaps like no list_users or direct user listing, and some operations seem redundant rather than filling missing functionality.

Resources