Jobs Base
Server Details
Curated job board for builder roles: founding engineers, solo builders, and "0 to 1" positions. Search and filter by location, salary, seniority, workplace model, visa sponsorship, and more. No API key needed.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.4/5 across 3 of 3 tools scored.
Each tool has a clearly distinct purpose with no overlap: get_job retrieves details for a specific job, list_filters provides metadata for filtering, and search_jobs performs filtered searches. The descriptions explicitly differentiate their roles, eliminating any ambiguity.
All tool names follow a consistent verb_noun pattern (get_job, list_filters, search_jobs) using snake_case throughout. The verbs (get, list, search) are distinct and appropriate for their functions, creating a predictable and readable naming scheme.
With only 3 tools, the server feels thin for a job search domain, lacking operations like applying to jobs, saving favorites, or managing user profiles. While the core search workflow is covered, the limited scope may restrict agent capabilities in more complex scenarios.
The tools cover the basic search and retrieval workflow (discover filters, search, get details), but there are notable gaps such as no create/update/delete operations for jobs or user interactions. For a job board, missing application or subscription features limits completeness, though the provided tools are well-defined for their narrow purpose.
Available Tools
3 toolsget_jobARead-onlyInspect
Get full details of a specific builder job by its ID, including description, skills, experience requirements, benefits, and company info. Use this after search_jobs to retrieve the complete listing.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The job ID |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, indicating a safe read operation with limited scope. The description adds useful context about what details are included (e.g., benefits, company info) and the prerequisite use of search_jobs, but doesn't disclose behavioral traits like error handling, rate limits, or authentication needs beyond what annotations provide.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the core purpose and followed by usage guidance. Every word earns its place, with no redundant or vague phrasing, making it highly efficient and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (single parameter, read-only per annotations) and lack of output schema, the description is mostly complete. It covers purpose, usage, and included details, but could benefit from mentioning return format or error cases for full completeness, though annotations help mitigate this gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with the single parameter 'id' fully documented in the schema. The description adds no additional meaning beyond implying it's a job ID from search_jobs, which is already clear from the schema. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Get full details'), resource ('builder job'), and scope ('by its ID'), with explicit mention of included fields like description, skills, and company info. It distinguishes from sibling tools by referencing 'search_jobs' for initial discovery, avoiding redundancy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use this tool ('after search_jobs to retrieve the complete listing'), providing clear sequencing guidance. It implies an alternative use case (search_jobs for initial results), though it doesn't explicitly name other siblings like 'list_filters' for filtering options.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_filtersARead-onlyInspect
Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, indicating this is a safe read operation with closed-world data. The description adds valuable context about the tool's purpose in a workflow (discovering filter values before searching) and specific use cases (country codes, cities), though it doesn't mention rate limits or authentication needs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two well-structured sentences with zero waste. The first sentence states the purpose and enumerates the filter categories. The second sentence provides usage guidance with specific examples. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 0-parameter read-only tool with no output schema, the description provides excellent context about what the tool returns and how to use it in the workflow. It could slightly improve by mentioning the format of returned values or pagination, but it's largely complete for this tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0 parameters and 100% schema description coverage, the baseline would be 4. The description appropriately explains that no parameters are needed ('Call this first') and clarifies the tool's purpose without attempting to document non-existent parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Get available filter values') and resource ('for search_jobs'), listing the exact categories of values returned (job types, workplace types, etc.). It distinguishes this tool from its sibling 'search_jobs' by explaining it provides filter values needed for that search tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance on when to use this tool ('Call this first to discover valid filter values before searching') and why ('especially for country codes and available cities'). It clearly positions this as a prerequisite for the sibling 'search_jobs' tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_jobsARead-onlyInspect
Search and filter builder job listings on jobsbase.io — a curated board exclusively for "builder" roles (cross-functional positions where one person owns engineering, product, and delivery end-to-end: founding engineers, solo builders, 0-to-1 roles). Every job here is already an AI-native builder role, so do NOT search for generic terms like "builder", "AI", "full-stack", or "engineer" — they are redundant and will hurt results. Just use filters (country, workplace, seniority, etc.) to narrow down. Use q only for specific technologies, companies, or domain keywords. All parameters are optional.
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | Optional keyword for specific technologies, domains, or companies (e.g. "React", "fintech", "Stripe"). Do NOT use generic terms like "builder", "AI", "engineer", or "developer" — every job on this board already matches those. Omit to browse all jobs. | |
| city | No | Filter by city. Comma-separated for multiple: London,Berlin | |
| sort | No | Sort order: relevance (best match first), posted_at (newest first, default), salary (highest salary first) | |
| type | No | Filter by job type. Comma-separated for multiple: full-time,contract. Values: full-time, part-time, contract, freelance, internship | |
| limit | No | Results per page (default 30, max 100) | |
| state | No | Filter by state/province name. Comma-separated for multiple: California,Texas | |
| cursor | No | Cursor for next page of results | |
| region | No | Filter by geographic region. Comma-separated for multiple. Values: north_america, latin_america, europe, asia_pacific, middle_east_africa | |
| company | No | Filter by exact company name | |
| country | No | Filter by country code. Comma-separated for multiple: US,GB,CA | |
| workplace | No | Filter by workplace. Comma-separated for multiple: remote,hybrid. Values: remote, hybrid, on-site | |
| posted_within | No | Filter by posting date: past 24h, 3d, 7d, 14d, or 30d | |
| salary_at_most | No | Show jobs that can pay at most this amount annually (normalized to annual equivalent) | |
| education_level | No | Filter by minimum education level | |
| salary_at_least | No | Show jobs that can pay at least this amount annually (normalized to annual equivalent) | |
| seniority_level | No | Filter by seniority. Comma-separated for multiple: mid,senior. Values: internship, entry, mid, senior, lead, executive | |
| visa_sponsorship | No | Set to true to only show jobs that offer visa sponsorship | |
| experience_no_more_than | No | Show jobs requiring no more than this many years of experience |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, indicating this is a safe read operation with a closed dataset. The description adds valuable behavioral context beyond annotations by explaining that all jobs are AI-native builder roles (clarifying the dataset nature), warning about redundant search terms that hurt results, and stating that all parameters are optional. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is efficiently structured with zero wasted sentences. It front-loads the core purpose, immediately provides critical usage guidance, and ends with the important note about optional parameters. Every sentence serves a clear purpose in helping the agent use the tool correctly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a search tool with comprehensive schema coverage (100%) and read-only annotations, the description provides excellent contextual completeness. It explains the specialized nature of the job board, gives crucial search strategy guidance, and clarifies parameter usage. The main gap is the lack of output schema, but the description compensates well by setting clear expectations about what will be searched.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the input schema already comprehensively documents all 18 parameters. The description adds some semantic context by explaining the purpose of the q parameter and emphasizing that filters should be used for narrowing, but doesn't provide significant additional parameter meaning beyond what's already in the schema descriptions. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches and filters builder job listings on jobsbase.io, specifying the exact resource (builder job listings) and platform. It distinguishes from sibling tools by focusing on search/filter functionality rather than getting a single job (get_job) or listing filters (list_filters). The explanation of what 'builder' means in this context adds specificity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance on when to use this tool vs. alternatives: it specifies to use filters (country, workplace, seniority) to narrow down and only use the q parameter for specific technologies, companies, or domain keywords. It also gives clear 'when-not' guidance by warning against generic search terms like 'builder', 'AI', or 'engineer' since all jobs already match those criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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