List users
propstack_list_usersList the users (staff, Nutzer) of the Propstack account: id, name, work email, position, phone, team. Use the ids as owner/broker filters. GET /brokers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
propstack_list_usersList the users (staff, Nutzer) of the Propstack account: id, name, work email, position, phone, team. Use the ids as owner/broker filters. GET /brokers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds value beyond that by disclosing the returned field set and the fact that ids serve as owner/broker filters elsewhere. It omits pagination, ordering, or result-size behavior, which keeps it below a 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two tight sentences with no filler: the resource and its fields come first, the usage hint second, the endpoint last as a compact technical anchor. Every clause carries information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description compensates by enumerating returned fields, which is the main thing an agent needs. It does not cover pagination, ordering, or volume limits for an open-world list endpoint, a minor remaining gap for a zero-parameter tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4 per the rubric. The description correctly indicates no input is needed and instead explains how the output ids are used downstream, which is the relevant semantic here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('List the users ... of the Propstack account') and enumerates the returned fields (id, name, work email, position, phone, team), plus the German alias 'Nutzer' and the underlying endpoint GET /brokers. No sibling tool lists users, so the scope is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives concrete downstream guidance: 'Use the ids as owner/broker filters', telling the agent why it would call this and how to consume the result. It stops short of naming alternative tools or stating when not to use it, so it is clear context without exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.