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Timix.AI

by ai.timix

create_custom_field

Define a new custom field on a billing entity type (project, task, subtask, time report, or customer) for your organization. The organization is fixed by your context - never pass an organization id. type is one of String, Number, Date, DateTime, ListOfValues; ListOfValues requires at least one option. Marking a field mandatory blocks creating that entity type until a value is provided.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesField data type (required). One of: String, Number, Date, DateTime, ListOfValues.
titleYesHuman-readable label shown in the UI (required).
entityYesThe entity type this field is defined on (required). One of: billing_projects, billing_tasks, billing_sub_tasks, sub_tasks_time_reports, billing_customers.
field_idYesA unique, stable key for the field (required, max 50 chars), e.g. "po_number".
is_mandatoryNoWhether a value is required when creating/updating the entity. Defaults to false.
list_of_valuesNoOptions for a ListOfValues field (required for that type; at least one non-blank option).
idempotency_keyNoOptional caller-supplied key; retrying with the same key returns the original result instead of acting twice.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

No annotations provided, but description discloses key behaviors: organization is fixed, ListOfValues requires options, mandatory blocks entity creation. Does not mention idempotency behavior or rate limits, but covers main effects.

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?

Three concise sentences front-load the purpose, then add essential details. No wasted words.

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

Completeness4/5

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

With 7 parameters and no output schema, the description covers main aspects: entity, field_id, title, type, mandatory, list_of_values. Idempotency key is in schema but not description, but overall sufficient for a creation tool.

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?

Schema coverage is 100%, so baseline 3. Description adds value by explaining context (fixed organization), clarifying ListOfValues requirement, and describing mandatory field impact.

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 custom field on billing entity types, lists the entities and data types, and distinguishes from sibling tools like update_custom_field and delete_custom_field.

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?

Provides guidance on usage: do not pass organization id, ListOfValues requires options, mandatory blocks creation. Could explicitly mention alternative tools for updating/deleting, but context is 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