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Passgage MCP Server

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by passgage

passgage_get_dashboard_stats

Fetch dashboard statistics for key workforce metrics like active users, pending approvals, leaves, entrances, and late arrivals over a chosen period to monitor HR and attendance.

Instructions

Get dashboard statistics and key metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsNoSpecific metrics to retrieve (default: all)
date_rangeNoTime period for statistics
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It merely says 'get,' implying a read operation, but does not mention side effects, return format, aggregation behavior, or any limitations. This is insufficient.

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?

The description is a single, concise sentence without wasted words. It is appropriately sized, though it lacks structure or enumeration of capabilities.

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

Completeness2/5

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

The tool has no output schema and no annotations, so the description should clarify what 'dashboard statistics' entails, return structure, and any prerequisites. It does not, leaving significant gaps for a tool that aggregates metrics.

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% with parameter descriptions and enums, so the baseline is 3. The description adds no additional meaning beyond what is already in the schema.

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 clearly states the tool's function with a specific verb ('Get') and resource ('dashboard statistics and key metrics'). It is distinct from sibling list tools like passgage_list_users or passgage_list_leaves, though 'key metrics' is somewhat vague.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, such as whether to use it for high-level summaries versus detailed lists. The description lacks contextual direction.

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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