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victorbenazzi

Ploomes MCP Server

List Users

ploomes_users_list
Read-onlyIdempotent

Retrieve a list of users from Ploomes CRM with details such as name, email, role, and profile. The returned IDs can be used to assign ownership of contacts, deals, tasks, and interactions.

Instructions

List users in the Ploomes CRM account. Returns Id, Name, Email, AvatarUrl, RoleId, ProfileId, Phone, etc. Use the returned Id as OwnerId when creating or assigning contacts, deals, tasks, and interaction records. Use $expand=Role,Profile,Teams,OtherProperties to include related data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoOData $filter expression. E.g.: "Name eq 'John'", "Email eq 'john@example.com'"
selectNoFields to return. E.g.: "Id,Name,Email,RoleId,ProfileId,Phone"
expandNoRelated entities to include. Available: "Role", "Profile", "Teams", "OtherProperties". E.g.: "Role,Profile,Teams,OtherProperties"
orderbyNoSort expression. E.g.: "Name asc"
topNoMax items to return (default 50, max 300)
skipNoItems to skip for pagination
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description adds behavioral context by detailing typical return fields and the use of expand. It does not contradict annotations and provides sufficient insight for safe invocation.

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?

Two sentences that efficiently convey the core purpose, return fields, and key usage tip. No unnecessary words, and the most critical information is front-loaded.

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 the tool's simplicity and the presence of comprehensive annotations and schema, the description covers all needed aspects: what it returns, how to use results, and how to include related data. No gaps for an AI agent.

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 description coverage is 100%, so baseline is 3. The description adds value by concretely explaining the expand parameter's available entities and the significance of the Id field, going slightly beyond the schema.

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 that the tool lists users in Ploomes CRM with specific fields returned (Id, Name, Email, etc.), and distinguishes itself from sibling tools that operate on other entities like contacts or deals.

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 explicit guidance on using the returned Id as OwnerId when creating/assigning records, and mentions using $expand for related data. However, it does not specify when not to use this tool versus alternatives, though the context is clear enough.

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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