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foundrole

FoundRole MCP

Official
by foundrole

job_alert_list

Read-only

Retrieve and filter your saved job alerts by status (pending, active, unsubscribed) with pagination to review all subscriptions in one place.

Instructions

Lists the authenticated user's job alerts across all subscription sources (regular, company page, MCP).

Input:

  • status: Filter by status — one of pending, active, unsubscribed (optional, default: all statuses)

  • limit: Number of results to return (default 20, max 50)

  • offset: Number of results to skip (default 0)

Output: Returns the user's job alerts with pagination info and a summary of the underlying job search (query, location, company where available). Each response includes a system_instruction describing how to present the results for the current client.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (default 20, max 50)
offsetNoNumber of results to skip (default 0)
statusNoFilter by status: pending, active, unsubscribed

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hasMoreNo
jobAlertsNo
totalCountNo
frequenciesNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds value by detailing the output includes pagination info, a summary of the underlying job search, and a system_instruction for presenting results, which goes beyond simple read-only semantics.

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 with clear Input/Output sections, each sentence providing essential information without redundancy. It is appropriately sized and leaves no unnecessary words.

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?

Given the simple parameter set (3 optional params, no nested objects), the presence of an output schema, and annotations, the description sufficiently covers the tool's behavior. It even mentions the system_instruction and summary info, making it complete for an agent to use effectively.

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%, and the description's Input section merely restates the parameter names, defaults, and ranges already present in the schema. The description adds no extra semantic value beyond what the schema provides, so the baseline of 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?

The description clearly states the tool lists the authenticated user's job alerts across all subscription sources, using a specific verb (Lists) and resource (job alerts). It distinguishes itself from sibling tools like job_alert_unsubscribe by focusing on read-only listing.

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 description implies usage context by specifying it returns alerts for the authenticated user and covers all subscription sources, but it does not explicitly mention when to choose this over alternatives like job_alert_unsubscribe. There are no exclusions, but no explicit alternative guidance is provided.

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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