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Jobs Flexjobs

jobs_flexjobs
Read-only

FlexJobs remote and flexible jobs for a job title or category (e.g. 'developer', 'customer-service', 'writing'): title, summary, allowed locations, remote level, schedule, salary range, benefits, categories, posted and expiry dates, plus the total count. From flexjobs.com's public listing pages via a residential proxy. FlexJobs hides employer names from non-members, so company is not included. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many jobs, 1 to 50 (default 10)
categoryYesJob title or category slug as in flexjobs.com/remote-jobs/<slug>, e.g. 'developer', 'data-entry', 'marketing'

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already mark it read-only and open-world, and the description adds genuinely non-obvious context: data comes via a residential proxy, employer names are deliberately omitted because FlexJobs hides them from non-members, and billing is $0.002 per successful call with failures not charged. It stops short of rate limits or pagination behavior, but the cost and data-completeness caveats are real value beyond 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose and the returned field list, then sourcing, a data limitation, and pricing — each clause carries information. The field enumeration is long but useful for judging relevance before spending a paid call.

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?

With an output schema covering return shape and annotations covering safety, the description fills the remaining gaps an agent needs: cost model, charged-vs-failed behavior, proxy sourcing, and the missing company field. Only rate/throughput expectations are absent.

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 100%, with both limit and category fully documented including examples, so the baseline is 3. The description reinforces the category-as-slug concept and its example values but adds nothing the schema does not already state.

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?

States a specific resource (FlexJobs remote/flexible jobs) keyed by job title or category, and enumerates the returned fields. Naming flexjobs.com as the source implicitly separates it from the dozens of other jobs_* board scrapers, though it never contrasts with a named sibling implicitly or explicitly.

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 is only implied: the tool is for finding remote/flexible roles on FlexJobs and requires a site-specific category slug. There is no guidance on when to prefer it over jobs_we_work_remotely, jobs_nodesk_remote_jobs or other remote boards, and no exclusions or prerequisites beyond the slug format.

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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