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FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT

Unsubscribe from all job alerts

job_alert_unsubscribe_all
DestructiveIdempotent

Unsubscribes the authenticated user from ALL of their job alerts at once, across every subscription source (regular, company page, MCP).

Input:

  • confirm: Must be true to execute. The call is rejected when omitted or not true — this guards against an unintended bulk unsubscribe.

Output: Confirms how many alerts were unsubscribed. Idempotent: returns success even when the user has no active alerts.

Input Schema

NameRequiredDescriptionDefault
confirmYesSet to true to confirm unsubscribing from every alert; the call is rejected otherwise

Output Schema

NameRequiredDescriptionDefault
messageNo
successYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / $schema
      Added value: +"https://json-schema.org/draft/2020-12/schema"
    • addedInput schema / additionalProperties
      Added value: +false
    • addedOutput schema / $schema
      Added value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "message": {
      +      "type": "string"
      +    },
      +    "success": {
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "success"
      +  ],
      +  "type": "object"
      +}
  3. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=true, but the description adds real behavioral substance beyond them: the call is rejected unless confirm is true, and it returns success even when no alerts are active. It also states the output shape (a count of alerts unsubscribed). It restates idempotency that annotations already carry, which keeps it from a 5.

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?

Content is front-loaded with the core action in the first sentence and the guard/idempotency details after. The Input/Output headings are slightly heavy for a single-parameter tool, costing a little structure economy, but every sentence carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter destructive bulk operation with an output schema and rich annotations, nothing an agent needs is missing: scope, the confirmation precondition, the rejection behavior, idempotency, and the return summary are all covered.

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% and the schema already documents that confirm must be true and that the call is rejected otherwise. The description adds only the rationale ('guards against an unintended bulk unsubscribe'), which is useful intent but no new syntax or format information. Baseline 3 is appropriate when the schema carries the parameter semantics.

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 opens with a specific verb and resource ('Unsubscribes ... from ALL of their job alerts') and scopes the operation precisely ('at once, across every subscription source (regular, company page, MCP)'). This cleanly distinguishes it from the sibling job_alert_unsubscribe, which handles a single alert, without the agent needing to open either schema.

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?

The 'ALL ... at once' framing makes the bulk-use case clear and implicitly routes single-alert requests to job_alert_unsubscribe, and the confirm guard establishes a precondition for execution. However, it never names the alternative tool explicitly or states when NOT to use this bulk operation, so it stops short of full when/when-not guidance.

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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