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chill-lichen

meetergo-mcp

by chill-lichen

create_data_field

Create custom data fields for forms to collect specific information from contacts. Define field type, label, and options for company-wide reuse.

Instructions

Create a reusable form data field (company-scoped). Example: {"label":"Budget Range","fieldType":"select","required":true, "options":[{"label":"< $10k","value":"small"}, {"label":"$50k+","value":"large"}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the action (create) and scoping (company), but omits details on side effects, permissions, idempotency, 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?

The description is concise, front-loaded with the purpose, and includes a directly relevant example. Every element earns its place without redundancy.

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?

For a creation tool with a nested object parameter and no output schema, the description adequately explains input via example but lacks return value, error handling, and validation details. It is minimally complete for the given complexity.

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?

The schema provides no constraints on the 'field' object (additionalProperties: true, 0% coverage). The description compensates with a detailed example showing expected structure (label, fieldType, required, options), adding significant meaning.

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 states the verb 'Create' and the resource 'reusable form data field (company-scoped)', clearly distinguishing it from other create tools. The example further clarifies the purpose.

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?

No guidance is given on when to use this tool versus alternatives, such as when to create versus list data fields, or prerequisites. The description lacks explicit context for decision-making.

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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