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thedailybeast_author

Read-only

Fetch a Daily Beast reporter's public profile and recent article links from a canonical author URL. Use thedailybeast_article with one returned URL to read a specific story.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "thedailybeast_author"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesCanonical thedailybeast.com/author/<slug> URL

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. Changed1 schema field changed
    • addedInput schema / properties / url / description
      Added value: +"Canonical thedailybeast.com/author/<slug> URL"
  2. First observed

TDQS

A4/5.0
Behavior3/5

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 that the returned content is a 'public profile' plus 'recent article links,' which is modest behavioral context, but it says nothing about pagination, result limits, or freshness of 'recent' articles. With an output schema present, a baseline 3 is appropriate.

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, zero padding. The core capability is front-loaded and the routing hint follows immediately; every clause carries information.

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 single-parameter, read-only fetch with annotations and an output schema, the description covers what an agent needs to select and invoke it, and points to the article tool for the next step. Minor gaps (pagination/recency of the article links) remain but are not blocking.

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%; the url parameter is already documented as a 'Canonical thedailybeast.com/author/<slug> URL'. The description only restates the canonical-URL requirement ('from a canonical author URL') without adding format examples or constraints beyond the schema. Baseline 3 is correct.

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?

The description gives a precise verb ('Fetch') and a specific compound resource ('a Daily Beast reporter's public profile and recent article links'), plus the required input form ('from a canonical author URL'). It explicitly names thedaillybeast_article as the different sibling, so an agent can distinguish this profile-fetch from story-fetch without opening a schema.

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?

It states the follow-up path explicitly: 'Use thedailybeast_article with one returned URL to read a specific story,' which chains this tool to the article reader and clarifies what each is for. It doesn't state exclusions (e.g. when not to use it vs. headlines/sections), but the workflow guidance is clear.

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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