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netops-field-notes

by labaccessnow

latest_field_note

Get recent This Week in NetOps episodes to stay informed on networking, cloud, and automation changes and discover recommended follow-up actions.

Instructions

The most recent This Week in NetOps episodes — what changed in networking, cloud and automation this week and what to do about it. The only tool here that touches the network besides check_tls_endpoint; it reads a public RSS feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that the tool reads a public RSS feed, implying a read-only external fetch rather than a network mutation. It does not detail failure modes, but for a simple feed retrieval this is sufficient.

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 short and front-loaded with the core purpose in the first sentence. The second sentence adds useful sibling differentiation and source context, though the claim about touching the network is slightly ambiguous.

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 tool with one optional parameter and an output schema, the description covers the purpose, content scope, and data source. It leaves out explicit guidance on the count parameter, but the output schema and simple schema reduce the need for more detail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter, count, is never referenced in the description, and schema description coverage is 0%. The agent must infer from the parameter name and default value that count controls how many episodes are returned; the description adds no semantic value here.

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 clearly identifies the resource (This Week in NetOps episodes), the temporal scope (most recent), and the content domain (changes in networking, cloud, and automation). It also distinguishes itself from sibling tools by noting it is one of only two tools that touch the network along with check_tls_endpoint.

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?

The intended use is implied: agents should call this when they need the latest weekly NetOps field notes. It names check_tls_endpoint as a sibling with network-touching behavior, but it does not explicitly state when to prefer this tool over that one or when not to use it.

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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