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jobs_rippling_board

Read-only

Lists a company's public Rippling board postings (thin listing — title, department, work location). The company is the Rippling board slug from its careers URL https://ats.rippling.com/{company}/jobs. Detail (full description, employment type) is fetched per job via the single-job endpoint. Credential-free public ATS JSON. Use jobs_rippling_job to get a single Rippling job.

Input Schema

NameRequiredDescriptionDefault
remoteNoFilter by remote (true or false)
companyYesRippling board slug (careers URL)
locationNoFilter: location contains
departmentNoFilter: department contains

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / company / description
      Added value: +"Rippling board slug (careers URL)"
    • addedInput schema / properties / department / description
      Added value: +"Filter: department contains"
    • addedInput schema / properties / location / description
      Added value: +"Filter: location contains"
    • addedInput schema / properties / remote / description
      Added value: +"Filter by remote (true or false)"
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

With readOnlyHint and openWorldHint already declaring the safety profile, the description adds real context: the listing is deliberately thin (title, department, work location), full detail requires a follow-up call, and the endpoint is credential-free public JSON. It doesn't cover rate limits or pagination, but the added behavioral detail is substantial.

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?

Four short sentences, front-loaded with the primary action before the identifier explanation and the sibling routing. No sentence is filler.

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

Completeness5/5

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

Output schema exists so return values need not be explained, yet the description still characterizes the returned fields and the two-step retrieval pattern. Everything an agent needs to call this correctly is present.

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?

Schema coverage is 100%, so baseline is 3, but the description goes beyond the schema's 'Rippling board slug (careers URL)' by giving the concrete URL template https://ats.rippling.com/{company}/jobs, which tells the agent exactly what value to supply.

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

Purpose5/5

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

States a specific verb (Lists) and resource (Rippling board postings), scoped to a company's board. It explicitly differentiates from the sibling jobs_rippling_job, so an agent can tell the two apart without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names the alternative explicitly ('Use jobs_rippling_job to get a single Rippling job') and states the routing condition: use this for the thin listing, the other for per-job detail. The relationship between the two calls is spelled out rather than implied.

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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