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list_applications
Read-onlyIdempotent

Read your saved jobs and application tracker with a status filter. Use ready_to_send for approvals, needs_answer for outstanding questions, or stale to review inactive applied rows. Returns bounded rows, full per-stage totals and the record: how many applications were sent, wait for your answers or were not sent and why, and the employer replies in your inbox. Never sends, archives or changes stages.

Input Schema

NameRequiredDescriptionDefault
limitNo
statusNo
stale_daysNoInactivity window for the stale view; defaults to 14 days.

Output Schema

NameRequiredDescriptionDefault
rowsYes
holdsYes
countsYesTotal counts per stage across the user's full history, independent of any stage filter or limit.
recordYesThe Applications page record, independent of any status filter or limit.
stale_totalYesAll stale rows for the stale view, oldest first in rows; null for other views.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnlyHint, destructiveHint=false and idempotentHint, so safety is covered; the description usefully reinforces this with 'Never sends, archives or changes stages.' It also discloses result shape traits (bounded rows, per-stage totals) that go beyond the annotation set.

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 filter guidance, then a compact set of usage hints. The return-value sentence is dense and somewhat run-on ('how many applications were sent, wait for your answers or were not sent and why'), but no sentence is pure 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?

With an output schema present, return details need not be spelled out, and annotations cover the safety profile, so the description is largely sufficient. The remaining gap is parameter-level detail for limit and the stale_days binding, which matters for a 3-param tool with 33% schema coverage.

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 only 33%, so the description has to carry weight, and it does explain the meaning of two enum values (ready_to_send, stale). However, it never explains limit (bounded to max 20) or that stale_days only applies to the stale view, leaving real gaps at low coverage.

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?

The description names a specific verb and resource ('Read your saved jobs and application tracker') plus its scoping mechanism (status filter), so the agent knows this is a filtered list operation rather than a single-record fetch like get_application. It stops short of explicitly naming a sibling to route away from, so it lands just under a 5.

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?

It gives concrete guidance on which status values to pick and why: ready_to_send for approvals, needs_answer for outstanding questions, stale to review inactive applied rows. There are no explicit exclusions or named alternatives, but the selection context is clear enough that an agent can choose the right filter.

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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