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EZRentOut MCP by usefulapi

List users

ezrentout_list_users
Read-only

The company's users (staff/admins, 25 per page). Filter by email, employee_identification_number or status (filter_val: active, inactive, login, non_login, all). GET /members.api.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, 1-based (default 1). Replies include the total number of pages; ask for the next page by adding 1.
filterNoFilter name.
filter_valNoThe value for the filter.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true, and the description adds real behavioral context on top: a fixed page size of 25, the backing HTTP endpoint, and the concrete allowed filter values. It does not mention auth or rate limits, but the page-size and filter-value disclosures are exactly the kind of operational detail annotations cannot carry.

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?

Two short sentences, front-loaded with what the resource is and how big a page is, then the filter options. The trailing 'GET /members.api' is mildly redundant reference detail but costs little.

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

Completeness4/5

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

For a three-parameter, zero-required read tool with no output schema, the description covers scope, page size, filter mechanics, and the enum of filter values. Pagination behavior is delegated to the page parameter's schema text, which is acceptable since that text explicitly explains total pages.

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 coverage is 100%, so the baseline would be 3; the description earns above that by enumerating the valid filter_val values (active, inactive, login, non_login, all), which the schema leaves as an unconstrained string. It also ties the three filter names to filter_val as a pair, clarifying the coupling between the two parameters.

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?

States a specific verb (list) and resource (the company's users, staff/admins) plus scope details like 25 per page and the backing endpoint GET /members.api. It is clearly distinguishable from the singular get_user sibling, though it never names that sibling explicitly to reinforce the split.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the description indicates this is the enumeration endpoint and that filtering is available, so an agent can infer 'use this to find users'. It gives no explicit when-to-use versus ezrentout_get_user or ezrentout_search_member_by_email, and no guidance on when filtering is required vs. browsing pages.

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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