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List LinkedIn organization jobs

linkedin_live_organization_jobs_v2
Read-only

List jobs for LinkedIn organizations. Accepts a organization id(s). Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trimNoIgnored if this tool does not support it.
limitNoIgnored if this tool does not support it.
startNo
cursorNo
offsetNoIgnored if this tool does not support it.
contextYesDescribe the user's underlying goal in one sentence — not the tool you are calling.
pageSizeNoIgnored if this tool does not support it.
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
maxResultsNoIgnored if this tool does not support it.
max_resultsNoIgnored if this tool does not support it.
conversation_idNoEcho the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.
organizationIdsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • addedInput schema / properties / limit
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / maxResults
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / max_results
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / offset
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / pageSize
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / trim
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
  2. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, which covers the safety profile. The description adds that the tool returns a list and that pagination should use a cursor, which is useful behavioral context beyond the annotations. It does not address authentication or multi-ID handling, but the bar is lowered by the annotations.

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?

Three short sentences with no filler: the purpose, the required input, and the pagination behavior are all front-loaded. Every sentence earns its place despite a minor grammar issue ('a organization').

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?

Adequate for a read-only list operation with supporting annotations, but still terse. It leaves gaps around ID format, pagination parameter interaction, and expected response shape, especially given there is no output schema to compensate.

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 coverage is 75%, with several generic parameters unhelpfully described as 'Ignored if this tool does not support it.' The description adds that organizationIds accepts one or more IDs and that cursor is the pagination mechanism. However, it does not clarify ID formatting (e.g., comma-separated) or how cursor relates to start/offset/maxResults.

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?

The description states a clear verb and resource: 'List jobs for LinkedIn organizations' and identifies that it accepts organization ID(s). It is unambiguous on its own, but it does not explicitly differentiate itself from closely related siblings such as linkedin_live_jobs_search_v2 or linkedin_live_job_get_v2.

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 context is implied: if you have LinkedIn organization ID(s) and want their jobs, this is the tool. However, there is no explicit guidance about when to prefer this over the sibling jobs-search or job-get tools, which would materially help an agent choose correctly.

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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