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fortune_author

Read-only

Fetch a Fortune author's public profile, bio, email, social accounts, and one paginated page of recent articles by slug or canonical url; page selects the archive page. Use fortune_article for one story or fortune_headlines for section stories.

Input Schema

NameRequiredDescriptionDefault
urlNoCanonical fortune.com/author/<slug>/ URL, optionally with a /page/<n>/ suffix; alternative to slug
pageNo1-based page number; overrides any page number in url
slugNoAuthor slug, e.g. sheryl-estrada

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / page / description
      Added value: +"1-based page number; overrides any page number in url"
    • addedInput schema / properties / slug / description
      Added value: +"Author slug, e.g. sheryl-estrada"
    • addedInput schema / properties / url / description
      Added value: +"Canonical fortune.com/author/<slug>/ URL, optionally with a /page/<n>/ suffix; alternative to slug"
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real context beyond that: it enumerates what is returned and discloses the pagination scoping ('one paginated page of recent articles'), which is not in the annotations. It omits auth/rate-limit behavior, keeping it short of a 5.

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 sentences, front-loaded with purpose and return contents, followed by the sibling-routing clause. Every clause earns its place with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, yet the description still summarizes them. Combined with the annotation-derived safety profile and 100% schema coverage, an agent has everything needed to call it correctly.

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% – url, page and slug are all documented in the schema with format hints and override semantics. The description restates the slug/url alternative and that page selects the archive page, adding little beyond the structured fields. Baseline 3 is appropriate when the schema does the work.

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?

States a specific verb (Fetch) and resource (Fortune author's public profile) and enumerates the returned content (bio, email, social accounts, one page of archive articles). It explicitly differentiates itself from sibling routes with 'Use fortune_article for one story or fortune_headlines for section stories.'

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

Usage Guidelines5/5

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

Names the two alternative tools and the exact condition selecting them: fortune_article for a single story, fortune_headlines for section stories. It also clarifies the slug-vs-url choice, leaving nothing about when-to-use 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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