Skip to main content
Glama

search_jobs

Search LinkedIn jobs by applying filters like location, company, employment type, experience level, and workplace type to pinpoint matching openings.

Instructions

Allows you to search jobs applying various filtering criteria (st.searchJobs action).

Linked API actions are queued into a cloud-browser workflow and may take several minutes. The server returns immediately after starting the workflow with {status: 'pending'|'running', pendingReason, workflowId, operationName, message}. To retrieve the final result, call get_workflow_result with the returned workflowId and operationName — it will long-poll until completion or the request budget elapses, then return either the final result or another in-progress snapshot. Do not retry the original tool while a workflow is still running; that creates duplicate queued work.

A pending workflow carries pendingReason: 'queued' means it is waiting its turn behind other work on the same account and will start within minutes. 'outsideWorkingHours' means the account has configured working hours and the workflow is parked until they reopen — possibly the next working day. In that case get_workflow_result returns immediately instead of polling, message states when the window opens, and you should report that to the user rather than looping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termNoOptional. Keyword or phrase to search.
limitNoOptional. Number of search results to return. Defaults to 10, with a maximum value of 1000.
filterNoOptional. Object that specifies filtering criteria for jobs. When multiple filter fields are specified, they are combined using AND logic.
customSearchUrlNoOptional. URL copied from a LinkedIn jobs search page. When specified, overrides term and filter.
Behavior5/5

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

With no annotations, the description fully discloses the asynchronous nature: actions are queued into a cloud-browser workflow, the server returns immediately with a pending/running status, and final results are retrieved via get_workflow_result. It also explains the queued vs outsideWorkingHours states, adding rich behavioral context.

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?

The description is well-structured and appropriately sized for the complexity. It front-loads the purpose, then details the workflow and pending reasons, with each sentence earning its place and no redundant fluff.

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?

The description thoroughly covers the async workflow and pending states, which is the primary complexity. However, it doesn't specify the structure or content of the final search result returned by get_workflow_result, which might be a gap since there is no output schema.

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 for parameters is 100%, so the baseline is 3. The description adds no additional parameter-specific semantics beyond referencing 'various filtering criteria' and the custom search URL override, which is already in the schema.

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?

The description clearly states that the tool searches jobs with filtering criteria and names the underlying action (st.searchJobs), unambiguously distinguishing it from sibling tools like search_people and search_companies.

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

Usage Guidelines4/5

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

Provides explicit workflow guidance: call get_workflow_result with the returned workflowId and operationName, and avoid retrying while the workflow is running. It also explains how to interpret pendingReason. However, it doesn't explicitly mention when to prefer this over alternative search tools, so it's not a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/zecloud/remote-mcp-linkedin'

If you have feedback or need assistance with the MCP directory API, please join our Discord server