poll_instance
Frisst Messwerte einer Cloud-Instanz sofort ab (Edge-Instanzen werden von der Box gepollt).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| instance_id | Yes | Instanz-ID (UUID) oder Label |
Frisst Messwerte einer Cloud-Instanz sofort ab (Edge-Instanzen werden von der Box gepollt).
| Name | Required | Description | Default |
|---|---|---|---|
| instance_id | Yes | Instanz-ID (UUID) oder Label |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full transparency burden. It provides one behavioral detail — edge instances are polled from the box — but fails to state whether the poll is synchronous, what it returns, whether it causes side effects, or how it differs from simply fetching latest metrics. This is far below what an action with no annotation cover must disclose.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence plus a parenthetical, with no filler. The action is front-loaded, and the parenthetical adds relevant edge-case information. Although the colloquial German verb is slightly odd, the structure is appropriately compact.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one parameter and no output schema, the description still leaves critical operational questions unanswered: does it return the fetched metrics or merely trigger polling, what exactly is 'the box' in edge contexts, and are there blocking or latency implications. An agent could not confidently invoke it correctly based on this alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% — the single parameter instance_id is documented as 'UUID or label'. The description adds no additional meaning to the parameter, so the baseline of 3 applies; the schema already does the work.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific action — 'Frisst Messwerte ... sofort ab' — meaning it immediately fetches/ingests metrics from a cloud instance, which is a clear verb+resource pairing. It hints at a behavioral nuance for edge instances but does not directly contrast with siblings like get_latest_metrics or get_metrics_history, so it stops short of full differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool instead of alternatives. There is no mention of get_latest_metrics or get_metrics_history, nor any condition like 'use when you need to force a fresh poll.' The parenthetical about edge instances is a behavior note, not a usage guideline.
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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