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Jobs Wellfound Jobs

jobs_wellfound_jobs
Read-only

Startup job listings from Wellfound (formerly AngelList Talent) for a role, either remote or in a city: job title, job type, compensation range as posted (salary, sometimes equity), locations, remote flag and accepted remote regions, years of experience, posted date and job URL, grouped with the hiring startup (name, one-line pitch, company size, badges such as stage or actively hiring, profile URL). Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
pageNoResults page 1 to 20 (default 1)
roleYesRole slug as in Wellfound URLs, e.g. software-engineer, data-scientist, product-manager, designer (required)
remoteNotrue (default) for remote jobs; false to use location
locationNoCity slug when remote=false, e.g. new-york, san-francisco, london

Output Schema

NameRequiredDescriptionDefault
jobsNo
pageNo
roleNo
remoteNo
sourceNo
resultsNo
locationNo
startupsNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the readOnlyHint/openWorldHint annotations, the description discloses the cost model ($0.002 USDC per successful call), the payment rails (x402 on Base, Solana or Arc), and that failed calls are not charged — exactly the kind of paid-invocation context annotations cannot express. It also characterizes the result payload (job fields grouped with the hiring startup).

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?

Front-loaded with source and scope, and the pricing sentence earns its place. The long enumeration of returned job/company fields is somewhat wasteful given an output schema exists, but the rest of the text is dense with no filler.

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?

Covers what an agent needs to call it correctly: input scope, remote/location modes, cost and payment mechanics, and (redundantly) the return shape. With an output schema present and full param coverage, the only minor gap is no hint about result volume or pagination limits.

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 100%, so role/remote/location/page are already fully documented with examples. The description restates the role-plus-remote-or-city interplay but adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 and resource: startup job listings from Wellfound (formerly AngelList Talent), scoped to a role and either remote or a city. The source platform plus the startup-grouping angle lets an agent distinguish this from the many other job-board siblings without inspecting schemas.

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?

The phrase 'for a role, either remote or in a city' implies the two query modes, but there is no explicit when-to-use/when-not guidance and no named alternative (e.g. when to prefer a general board like Indeed over this startup-specific one). An agent can infer usage but gets no routing rules.

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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