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CustifyOfficial

Custify MCP Server

Official

get_segment_membership

Retrieve all customer segments for a specific Custify account to understand account categorization and segmentation.

Instructions

Get all segments that a specific Custify account belongs to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYesThe Custify company/account ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it 'gets' data, implying a read-only operation, but doesn't clarify aspects like whether it requires authentication, has rate limits, returns paginated results, or what happens if the account ID is invalid. For a tool with zero annotation coverage, this is a significant gap.

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, clear sentence with no wasted words. It front-loads the core purpose efficiently, making it easy to parse and understand quickly.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the return value looks like (e.g., a list of segment names or objects), error conditions, or behavioral traits like idempotency. For a tool with no structured output documentation, the description should provide more context to guide the agent.

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 input schema already fully documents the single parameter 'account_id'. The description adds no additional semantic context beyond implying it's used to identify the account, which the schema's description ('The Custify company/account ID') already covers. This meets the baseline for high schema coverage.

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 ('Get') and resource ('all segments that a specific Custify account belongs to'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_account' or 'search_accounts', which might also retrieve account-related data but with different scopes.

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, such as needing a valid account ID, or compare it to siblings like 'get_account' (which might retrieve general account info) or 'list_accounts' (which lists multiple accounts). This leaves the agent to infer usage 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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