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Count users

axislms_count_users
Read-only

Number of users, all or matching a search phrase. GET /users/all/count/ or /users/filtered/count/?user_filter=.

Input Schema

NameRequiredDescriptionDefault
user_filterNoAxis user search phrase: field-name + operator + value, several joined by commas (all must match). Operators: = equals, != not equal, ~ contains, !~ does not contain; for usergroup, ~ means 'is in' and !~ 'is not in'. Fields: id, manager_id, org_id, branch_id, username, first_name, last_name, email, middle_init, company, address, city, state, zip, phone, custom1..custom15, localization, role, usergroup, date_start, date_expire. Examples: state=nj | email~example.com | manager_id=12,usergroup~sales,branch_id=50

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds the underlying REST endpoints, which clarifies what the call actually hits, but says nothing about the response shape, whether the count is exact, or rate/permission constraints.

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 with the purpose front-loaded and zero padding. The raw endpoint strings are slightly cluttered but do carry information about the two modes (all vs filtered).

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?

With a single optional, fully documented parameter and complete read-only annotations, the description covers what an agent needs. The only mild gap is not stating outright that a single numeric count is returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the user_filter parameter is documented in exhaustive detail (operators, fields, examples). The description only glosses the parameter as 'a search phrase', adding no syntax or behavior beyond the schema, so the baseline 3 applies.

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+resource with scope: a count of users, either all or matching a search phrase. An agent can tell this is the counting counterpart to list_users/search_users, though no sibling is named explicitly.

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?

The description implies when to use it (when a number is wanted rather than a list) but never says so directly and names no alternatives such as search_users or list_users. An agent must infer the choice from the word 'Number'.

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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