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sesonet

freelo-mcp-server

Official
by sesonet

Freelo Get Users

freelo_get_users
Read-only

Fetch all users in your Freelo workspace to obtain names, emails, IDs, and roles, essential for assigning tasks to the correct user.

Instructions

Fetches all users in the Freelo workspace. Returns user list with names, emails, IDs, and roles. Essential for getting user IDs before assigning tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesItems in the response

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.5.0

TDQS

A4.5/5.0
Behavior4/5

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

The description is consistent with the readOnlyHint and destructiveHint annotations and adds useful behavioral context: it returns all users in the workspace and includes specific fields. It does not discuss pagination or authorization, but for a simple read-only list operation this is not 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 two sentences with no filler. The core action is front-loaded, and the second sentence adds practical value by explaining why the tool matters for task assignment.

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?

With no parameters, an output schema present, and annotations covering the read-only safety profile, the description provides enough context for an agent to select and invoke the tool correctly. The use case, return contents, and scope are all covered.

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 tool has zero parameters, so there is nothing for the description to clarify. Per the baseline for parameterless tools, 4 is appropriate because no param explanation is needed and the description appropriately focuses on what the tool returns.

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 a specific verb ('Fetches'), a specific resource ('all users in the Freelo workspace'), and the key outcome (user list with names, emails, IDs, and roles). This clearly distinguishes it from sibling tools focused on projects, tasks, or notes.

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?

It provides clear context for when to use this tool: 'Essential for getting user IDs before assigning tasks.' It does not explicitly name alternatives like freelo_get_project_workers or freelo_get_assignable_workers, nor state when not to use it, so it stops short of full alternative guidance.

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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