Skip to main content
Glama

overview

Read-onlyIdempotent

Displays case file dashboard with alerts, upcoming appointments, open deadlines, and application count against monthly requirement. Set horizon_days for appointment look-ahead.

Instructions

Dashboard of the case file: alerts, upcoming appointments, open deadlines (Widerspruch, tasks, Vermittlungsvorschläge), application count against the monthly requirement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
horizon_daysNoLook-ahead for appointments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful context about what the dashboard aggregates (alerts, deadlines by category, quota progress), but says nothing about result volume, refresh/latency, or how the horizon affects the output. Adequate but not rich.

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, front-loaded sentence with no filler; the enumeration is the most informative part and comes immediately after the resource. It is a noun phrase fragment rather than a full sentence, which is terse but acceptable for a dashboard tool.

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?

An output schema exists, so return values need no explanation, and the annotations carry the safety profile; only one optional parameter needs documenting. What remains thin is routing — nothing tells the agent to start here versus calling the granular list_* tools — but the functional picture is otherwise complete.

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?

Single optional parameter with 100% schema description coverage ("Look-ahead for appointments"), so the schema already carries the semantics. The description does not mention horizon_days or clarify whether it governs appointments only or also deadlines, so it adds nothing over the schema — the baseline 3 for full 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 the resource ("Dashboard of the case file") and enumerates its contents verbatim — alerts, upcoming appointments, open deadlines, application count vs. monthly requirement — so an agent knows what it returns. It is distinct in spirit from the granular list_appointments / list_tasks / list_applications siblings, but never explicitly contrasts itself with them, leaving the differentiation to inference.

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?

There is no explicit when-to-use or when-not-to-use statement, and no sibling is named despite a very large set of granular alternatives (list_appointments, list_tasks, proof_of_applications, etc.). However, the word "overview" plus the aggregation framing implicitly signals it as a summary entry point rather than a filtered detail query.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.