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Gripp MCP by usefulapi

List employees

gripp_list_employees
Read-only

List employees in Gripp. Employees with name, e-mail, function, department, role and active flag. Supports filters, paging (max 250 per call) and ordering. Gripp API: employee.get.

Input Schema

NameRequiredDescriptionDefault
filtersNoOptional filters, all combined with AND. Custom fields cannot be filtered.
order_byNoField to sort by, for example company.id. Default: id.
directionNoSort direction (default asc).
max_resultsNoRows per page (default 50, maximum 250).
first_resultNoOffset of the first row (default 0).

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?

readOnlyHint=true already covers the safety profile, so the description's real added value is the field list (name, e-mail, function, department, role, active flag), which is useful since no output schema exists. However, the 250-per-call cap is already in the schema, and it says nothing about whether a total count is returned or how to know when paging is exhausted.

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?

Three short, front-loaded sentences with no filler; the entity and its fields come first, capabilities second. The opening clause mildly duplicates the tool name/title, which is the only wasted space.

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 read-only list tool with five optional, fully documented parameters and a declared readOnlyHint, the description plus schema is nearly sufficient. The remaining gap is pagination semantics — whether there is a total/has-more indicator and what happens past the 250 cap — which matters for a tool the agent may need to page through.

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 description coverage is 100%, so the schema already documents filters, order_by, direction, max_results and first_result in detail, including operator enums and defaults. The description only restates that filtering/paging/ordering exist, adding no syntax or semantics beyond the schema.

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 ('List employees in Gripp') and enumerates the returned fields, so the agent knows exactly what entity is being retrieved. It does not contrast itself with siblings like gripp_list_contacts or gripp_list_tasks, but the resource noun is distinct enough to disambiguate.

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 mention of filters, paging and ordering tells the agent this is the bulk-retrieval path for employees, but there is no explicit 'use this when' statement, no exclusions, and no pointer to an alternative for single-record lookup (e.g. gripp_get_record).

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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