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List profile fields

namely_list_profile_fields
Read-only

List the fields of the employee profile as configured at this company (standard and custom), with their labels, sections and the valid format of each value. Namely API: GET /profiles/fields.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered; the description adds value by disclosing what the response contains — labels, sections, and the valid format of each value. The Namely API endpoint reference also aids debugging, though pagination or response shape details are absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core purpose and the returned content, followed by the API endpoint. No filler or repetition.

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 no parameters and no output schema, the description carries the burden of explaining the return value and does so at a useful level (labels, sections, valid value formats). It could go slightly further by noting the response is a flat field list usable to interpret namely_get_profile output.

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?

The tool takes zero parameters, so there is nothing to document and the baseline of 4 applies. The description correctly implies a company-scoped, unfiltered listing with no inputs required.

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 a precise resource (employee profile fields as configured at this company), including that both standard and custom fields are covered. The resource is clearly distinct from siblings like namely_get_profile and namely_list_profiles, 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?

Usage is implied rather than stated: an agent can infer this is a schema/metadata discovery call, useful before reading or updating profile values. There is no explicit when-to-use, when-not, or pointer to a sibling such as namely_get_profile for actual values.

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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