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Attention spikes

list_attention_spikes
Read-onlyIdempotent

Attention spikes: Wikipedia articles whose views surged far above their usual level yesterday (ratio to the previous week's median), the earliest sign of breaking public interest in a person, company, event or idea. Any language. Likely automated traffic filtered. Based on Wikimedia pageview data (CC0).

Input Schema

NameRequiredDescriptionDefault
langNoWikipedia language code (default en)
limitNo1 to 50
minRatioNo2 to 100
minViewsNoMinimum views (default 1000)

Output Schema

NameRequiredDescriptionDefault
dataYesThe result. Its fields are documented at https://www.x402pulse.dev/developers for each endpoint.
cachedNotrue if the result came from x402Pulse's cache, false if it was just computed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, openWorld, non-destructive), so the bar is lower. The description adds meaningful context beyond them: the 'yesterday' time window, the ratio-to-median metric, automated-traffic filtering, and the Wikimedia/CC0 data source.

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?

A single front-loaded sentence that leads with the resource name and then layers definition, metric, time window, and provenance without filler. Slightly dense but every clause earns its place.

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 an output schema present, return values need not be described, and annotations carry the safety profile. The description covers concept, metric, time window, and data source; only explicit usage/alternative guidance is missing.

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 description coverage is 100%, so the schema already documents lang, limit, minRatio, and minViews. The description adds no parameter syntax or format detail beyond that, which is the expected baseline when the schema does the heavy lifting.

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 (list) and resource (attention spikes) and defines the concept precisely: Wikipedia articles whose views surged above their previous week's median. It stops short of explicitly distinguishing itself from close siblings like get_topic_attention or list_trending_topics, so an agent must 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 Guidelines2/5

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

It hints at value ('earliest sign of breaking public interest'), implying a use case, but gives no explicit when-to-use or when-not guidance and never names an alternative. The agent gets no help choosing between this and the several other attention/topic siblings.

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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