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get_recent_applications

Read-only

Retrieves a summary of the user's 10 most recent job applications, including status, company name, and correspondence dates. totalCount in the response reflects the full number of applications, not just the 10 returned — mention it if it's larger than the list shown, and point the user to search_job_applications for the rest.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
tipsYes
totalCountYes
applicationsNo
dashboardUrlYes
assignedEmailsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnly/non-destructive/closed-world, so the safety profile is covered. The description goes beyond them by disclosing the totalCount-vs-list-length mismatch and the required follow-up behavior, which is real behavioral context an agent could not infer elsewhere. Minor gap: no note on ordering beyond 'most recent' or pagination limits.

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 what is returned and its scope in the first sentence, with the totalCount caveat second. Slightly dense but every clause carries information; the field list is near-redundant with the output schema but earns its place as a quick summary.

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?

Output schema exists, so return values needn't be re-explained, yet the description usefully flags the one non-obvious semantic (totalCount vs returned list) and the recommended follow-up. For a zero-parameter read tool with full annotation coverage, nothing an agent needs is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4. The description correctly implies no inputs are needed and spends its words on output semantics instead, which is the right allocation.

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 (retrieves), resource (job applications) and precise scope (10 most recent, with the listed fields). An agent can immediately tell this apart from search_job_applications or get_job_application without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names the exact alternative (search_job_applications) and the condition that should route the agent there — when more than the 10 returned exist. It also instructs the agent to surface totalCount when it exceeds the list, which is actionable usage guidance rather than mere description.

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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