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AI Daily Brew

get_publication

What AI Daily Brew is, who it is for, and how to subscribe or get listed on the wall.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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 describes subject matter but does not explicitly state that the tool returns informational content, whether it is read-only, or what form the output takes.

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 a single, compact sentence that groups three relevant content topics without filler. However, it is front-loaded as a content pitch rather than a tool behavior statement, and the phrase 'the wall' is left unexplained.

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 zero-parameter informational tool with no output schema, the description covers the main return content: what the publication is, who it serves, and how to subscribe or get listed. Adding an explicit 'Returns...' or 'Provides...' framing would make it fully complete.

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

Parameters4/5

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

The tool has zero parameters and the schema is fully complete, so there is no parameter documentation burden for the description. This is the baseline case for a zero-parameter tool.

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 name supplies the verb ('get'), and the description clearly identifies the resource (AI Daily Brew publication) plus the content areas it covers. It is distinguishable from the sibling builder tools by topic, though the description itself is a noun-phrase content summary rather than an explicit operational statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance, no mention of alternatives, and no exclusions. The 'who it is for' line hints at an audience but does not tell an agent when to select this tool over get_builder or search_builders.

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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