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alludium

Affinity MCP Server

by alludium

Get List

affinity_get_list
Read-onlyIdempotent

Retrieve metadata for a specific Affinity list, including name, type, visibility, and owner. Use list ID from existing lists to get pipeline details.

Instructions

Get metadata for a single Affinity list (deal pipeline).

Returns basic list information: name, type, visibility, owner.

Parameters:

  • listId: List ID (required) - get from affinity_list_lists

Returns (JSON): { "id": number, "name": string, // e.g., "SVV Deal Funnel" "type": string, // "company", "person", or "opportunity" "isPublic": boolean, "creatorId": number, "ownerId": number }

List Types:

  • company: Organization tracking lists

  • person: Contact tracking lists

  • opportunity: Deal/fundraising lists

Next Steps:

  • Use affinity_get_list_fields to see available fields

  • Use affinity_get_swimlanes to see pipeline stages

  • Use affinity_get_list_entries to see entries

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listIdYesList ID (numeric). Get from affinity_list_lists.
responseFormatNoOutput format: "json" or "markdown". Default: "json"
Behavior4/5

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

Annotations declare readOnlyHint, destructiveHint, idempotentHint, openWorldHint. Description adds return structure (JSON with fields) and explains list types, which provides behavioral context beyond annotations. No contradictions.

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

Conciseness4/5

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

Well-structured with main sentence, returns, list types, and next steps. Some redundancy with schema parameter descriptions, but overall efficient and front-loaded with purpose.

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

Completeness5/5

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

Given no output schema, the description provides sample JSON output and list types. Includes next steps for further actions. Complete for a simple read 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 has 2 parameters with 100% description coverage. The description adds extra context that listId 'get from affinity_list_lists', which is helpful. Baseline 3, but the additional guidance justifies a 4.

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?

Clearly states 'Get metadata for a single Affinity list (deal pipeline).' Specifies the resource (list) and verb (get), and distinguishes from siblings like affinity_list_lists and affinity_get_list_entries by focusing on a single list's metadata. Includes return fields and list types for clarity.

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 clear context: listId comes from affinity_list_lists. Includes 'Next Steps' with suggested tools based on returned data. Does not explicitly state when not to use, but the function is specific enough that it's 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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