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alya_celeb_summary

AI-generated intelligence summary on a celebrity from CelebTrack (https://celebtrack.app — Father's celebrity-tracking platform). Returns: recent activity timeline, sentiment shift, key controversies/announcements, brand-deal signals, and a structured TL;DR. Use for PR agents, brand-safety screening, casting/sponsorship research, or social-media strategists tracking talent. Premium ($0.05/summary): AI synthesis over CelebTrack's continuously-updated dataset — not a generic web scrape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
celebrityIdYesCelebTrack celebrity id (use the 'celebrities' list endpoint or chat ask Alya)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses the data source (CelebTrack's continuously-updated dataset) and pricing, but does not explicitly state that the tool is read-only or mention rate limits or authentication needs.

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?

Three sentences, front-loaded with purpose and key details. Efficient but could be slightly shorter.

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?

Given the tool's simplicity (one parameter, no output schema), the description covers purpose, typical use, pricing, and transparency adequately. It does not mention caching or real-time updates but is largely complete for an agent to decide on invocation.

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?

Schema coverage is 100% with a concise description for 'celebrityId'. The tool description adds guidance on how to find the ID (use list endpoint or chat ask Alya), which adds value beyond the schema.

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?

Description clearly states it produces an AI-generated intelligence summary on a celebrity, listing specific outputs (activity timeline, sentiment, controversies, brand-deal signals, TL;DR). It distinguishes from siblings by mentioning the source (CelebTrack) and target audience (PR agents, brand safety, casting).

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?

Description identifies specific use cases and states it's premium with pricing. However, it does not explicitly say when to avoid this tool or compare to alternatives like 'alya_ask' or 'web_search'.

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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