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Nextesy MCP

get_company_workplaces

Fixed JSON GET /api/v1/company/workplaces. 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

C2.9/5.0
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 burden. It hints at a 'Fixed JSON' response shape and confirms the operation is a company-scoped GET, but says nothing about permissions, pagination, result limits, or whether an unknown company errors or returns empty.

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 terse sentences with the endpoint and the required-company constraint front-loaded, and no filler. Slightly telegraphic, but nothing is wasted.

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 values need not be described, and the filter pointer partly covers the opaque query object. Still, for a tool with a fully undocumented schema the description leaves key questions (what fields are valid, what a workplace contains) to a further round-trip.

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 0% and the query parameter is an untyped object with additionalProperties, so the description does real work by stating that it takes 'flat query fields' and that filter details live in describe_nextesy_operation. It also reinforces that company_name is mandatory. It still doesn't name any of the actual filter keys.

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 says it is a GET against /api/v1/company/workplaces, which implies retrieving a company's workplaces, but it mostly restates the tool name and HTTP path. It never explains what a 'workplace' is or that this returns a collection, so the agent gets only a vague sense of the resource.

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' signals a precondition and 'see describe_nextesy_operation for filters' routes the agent to a sibling for filter discovery. That is useful implied guidance, but there is no statement of when to prefer this over other company-scoped reads or what happens if the company is omitted.

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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