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Nextesy MCP

get_payroll_configuration

Fixed JSON GET /api/v1/payroll/configuration. Explicit company required. Flat query fields; see describe_nextesy_operation for filters.

Input Schema

NameRequiredDescriptionDefault
queryNo
company_nameYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Fixed JSON GET' implies a safe read with a stable payload, but it says nothing about permissions, what configuration settings are covered, or whether the response is scoped per company. For an unannotated tool this is thin.

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 sentences, front-loaded with the endpoint and resource, with no filler. The terseness trades away informativeness but the structure itself is clean.

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

Completeness3/5

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

An output schema exists, so return shape need not be explained. What remains missing is the one thing the agent most needs: how this configuration resource differs from the many sibling payroll endpoints and what scope of settings it exposes. The required-company note is the only substantive content.

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

Parameters2/5

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

Schema description coverage is 0% for both parameters. The description covers company_name only obliquely ('Explicit company required') and dismisses the query parameter as 'flat query fields' while deferring its actual semantics to a separate tool. An agent still does not know what fields query accepts or how they behave.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (payroll/configuration) and implies a read via the HTTP verb 'GET', which is more than a restatement of the tool name. However it never distinguishes this from closely named siblings such as get_payroll_policies, get_payroll_company, or get_payroll_overview, so an agent cannot confidently choose between them from the description alone.

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?

'Explicit company required' states a prerequisite, which is useful. The pointer to describe_nextesy_operation gives a route for filters, but there is no guidance on when to pick this tool over the other payroll getters, and no exclusion of cases where it is inappropriate.

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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