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Read the This Week in AIOps RSS feed to retrieve recent episode summaries covering model, agent, and MCP updates and their impact on production systems.

Instructions

The most recent This Week in AIOps episodes — what shipped in models, agents and MCP, and what it means for the systems you run. The only tool here that touches the network; it reads a public RSS feed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoHow many recent episodes to return (default 3).

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and it does disclose the most important behavioral trait: this tool performs network I/O against a public RSS feed. It does not mention failure modes or rate limits, but for a simple read-only feed fetch, the disclosure is solid.

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?

Two tight sentences: the first states the resource and value, the second adds the crucial network-behavior differentiator. No filler or redundant schema repetition.

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 no output schema, the description covers what it reads, why it matters, and its network behavior. It does not describe the exact return shape, but that is not critical for such a simple feed-reading tool.

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% and the single 'count' parameter already has a description and default value. The tool description adds nothing beyond the schema, so the baseline of 3 is appropriate; no extra semantic value is provided.

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 names a specific resource ('This Week in AIOps episodes') and a concrete action ('reads a public RSS feed'). It also distinguishes itself from siblings by being the only tool that touches the network, so an agent can tell it apart without opening any schema.

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 the network-dependent tool among local analysis siblings, implying use when external RSS content is needed. It does not explicitly list when-not-to-use or name an alternative, but the context is strong enough for selection.

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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