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Read job search stats

get_user_stats
Read-only

Get a compact numeric summary of the user's activity over the last period_days (default 30, max 180): applications_count (vacancies the user marked as sent in the tracker), analyses_count (vacancies analyzed, archived analyses included) and avg_match_score, interviews_count and avg_interview_score, plus resumes_count (the user's total resumes, not windowed). Zero counts and zero averages are a normal result for a new user.

Input Schema

NameRequiredDescriptionDefault
inputNo

Output Schema

NameRequiredDescriptionDefault
period_daysYesThe window (in days) actually applied to the activity counts.
resumes_countYesTotal resumes the user currently has (not limited to the window).
analyses_countYesVacancy analyses completed within the window, archived ones included.
avg_match_scoreYesAverage match percentage across those analyses (0-100); 0 if none.
interviews_countYesMock interviews completed within the window.
applications_countYesVacancies the user marked as sent within the window (moved from new to applied, interview, offer or accepted in the tracker); each vacancy counts once.
avg_interview_scoreYesAverage interview score across those interviews (0-100); 0 if none.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint=false, so safety is covered. The description still adds real value beyond that: window semantics (default 30, max 180), the fact that resumes_count is never windowed, and the reassurance that zero counts/averages are normal for new users.

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?

A single dense paragraph that front-loads the purpose and window semantics before listing returned metrics. The long enumeration of fields is somewhat run-on but every clause is informative.

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?

Although an output schema exists so return values need not be re-explained, the description's coverage of window semantics, the non-windowed resumes_count, and the zero-result caveat makes it self-sufficient for correct invocation. Nothing an agent needs to call it 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?

Reported schema coverage is 0%, so the description must carry the parameter meaning, and it does: period_days defaults to 30, is capped at 180, scopes the activity counts, and explicitly excludes resumes_count from windowing. It does not cover validation/error behavior for out-of-range values, keeping it short of a 5.

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 gives a specific verb+resource ('compact numeric summary of the user's activity') and enumerates exactly what is summarized, which implicitly separates it from event-listing siblings like get_recent_activity or get_usage. It never names an alternative sibling explicitly, so differentiation is inferred rather than stated.

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 context is implied (read aggregate activity over a look-back window) and the default/cap are given, but there is no explicit when-to-use versus when-not guidance and no pointer to alternatives such as get_recent_activity for event-level detail.

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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