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Aggrete

Aggrete

Official

hr__leave_balance

Look up the remaining leave and absence balance for an employee by email. Retrieve accurate absence data to plan staffing and coverage.

Instructions

[hr-personnel] Look up the remaining leave and absence balance for one person by email. In this demo, Aggrete redacts the email in the result before it reaches the model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address of the person whose leave balance to look up, for example 'alice.n@example.com'.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changedv0.5.4
    • addedInput schema / properties / email / description
      Added value: +"Email address of the person whose leave balance to look up, for example 'alice.n@example.com'."
  2. First observedv0.5.2

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose a notable behavior: Aggrete redacts the email from the result before it reaches the model. This goes beyond the basic purpose and gives the agent useful expectations about output privacy.

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 short, front-loaded with the core purpose, and the demo redaction note is the only extra information. Every sentence adds value and there is no wasted text.

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?

For a simple single-parameter lookup with no output schema, the description plus schema is adequate: purpose, input, and a relevant behavioral note are all present. It does not detail error cases or exact response structure, but those are not essential for this tool's simplicity.

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 description coverage is 100% and the email parameter already has a clear description with an example. The tool description adds 'by email' but does not materially improve on the schema. Baseline 3 is appropriate.

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 uses a specific verb ('Look up') and a specific resource ('remaining leave and absence balance') scoped to one person by email. This clearly distinguishes the tool from sibling tools like hr__recent_joiners, which operate on groups or lists.

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 clearly indicates this is for a single-person lookup identified by email, which provides enough context to avoid confusion with the sibling HR tools. It does not explicitly name alternatives or state when not to use the tool, so it falls short of a 5.

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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