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WillHeadlee

Little Green Light MCP Server

by WillHeadlee

create_address

Add a street address to a constituent record in Little Green Light CRM. Specify the street, city, state, zip, country, address type, and whether it is the primary address.

Instructions

Add a street address to a constituent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipNoPostal / ZIP Code
cityNo
stateNo
streetYes
countryNo
is_primaryNo
address_typeNoe.g. Home, Work, Seasonal
constituent_idYes
Behavior2/5

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

Annotations indicate a non-read-only, non-destructive operation, but the description adds no further behavioral details such as return values, validation rules, or side effects. It does not leverage annotations to provide additional context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, short sentence, which is concise but underinformative. It could be expanded without losing conciseness.

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

Completeness1/5

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

The tool has 8 parameters and no output schema, yet the description provides virtually no context. It fails to specify required parameters, return values, or behavior in relation to sibling tools, leaving the agent with insufficient information to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 25% schema description coverage, the description should compensate by explaining parameter meanings, but it does not. The agent receives no help on fields like city, state, country, or is_primary.

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 ('Add'), the resource ('street address'), and the target ('constituent'). It distinguishes from sibling tools like update_address and delete_address, which have different verbs.

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 provided on when to use this tool versus alternatives (e.g., update_address), nor are prerequisites mentioned (e.g., constituent must exist). The agent must infer usage from context.

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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