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One curated top list

best_list
Read-only

One published top list by slug (see best_lists): the picks with links, FAQ, sources and the Markdown body. Same data as GET /api/v1/best/{slug}.

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": {
      "slug": "<slug>"
    },
    "name": "best_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesList slug, e.g. free-ai-apis

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds real behavioral value by enumerating the payload (picks with links, FAQ, sources, Markdown body) and by mapping the tool to the equivalent REST endpoint. It stops short of covering error or not-found behavior.

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?

A single front-loaded sentence with no filler: identity, sibling pointer, and return contents in that order. Nothing redundant.

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 one-parameter read tool with no output schema, the description compensates well by naming the response components. The only unfilled gap is behavior for a missing or unpublished slug.

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 100% and the slug property already carries a format example, so the schema does the heavy lifting. The description only adds the implication that slugs refer to 'published' lists, which is marginal 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?

States a specific resource and scope ('one published top list by slug') and immediately differentiates itself from the sibling best_lists by pointing there for enumeration. An agent can tell which of the two to call without opening either schema.

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?

The parenthetical '(see best_lists)' implies you should use best_lists first to discover slugs, but it never says so explicitly nor states what happens with an unknown or unpublished slug. Usage is inferable rather than stated.

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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