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get_event

One AI-news event by slug: full editorial summary plus its outbound coverage list (outlet name, link, language, time — no publisher headlines).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden. It discloses the response payload in detail (full editorial summary plus outbound coverage fields) and explicitly flags an exclusion — 'no publisher headlines' — which preempts an agent expecting headlines. It says nothing about behavior for an unknown slug, but return-content disclosure is unusually strong for a read tool.

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?

One dense sentence, front-loaded with the verb and resource before the detail clause. The trailing parenthetical about missing headlines earns its space, though the sentence runs long and slightly compresses several ideas.

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?

With no output schema and no annotations, the description nevertheless describes the returned payload well enough for an agent to use the result. Remaining gaps — how to obtain a valid slug and behavior on a miss — are minor for a simple read-by-identifier 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 0% and the single parameter has no schema description. The phrase 'by slug' does convey that the parameter identifies a unique event rather than filtering a list, adding real meaning over the raw 'slug' string type. Format or source of the slug is still undocumented.

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?

States a specific verb+resource ('One AI-news event by slug') and details what is returned, which separates it from search_news (query-based) and daily_digest (aggregate). It stops short of naming a sibling explicitly, so an agent must still infer the boundary.

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?

Usage is implied by 'by slug' — the agent must already hold a slug, which suggests a call after a search. However, there is no explicit when/when-not guidance or pointer to search_news for obtaining a slug, leaving invocation context to inference.

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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