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List the website widget formats of a Frank research

list_embeds
Read-only

Lists the website widget formats Frank offers for one research — floating, inline and popup — each with its embed ID, plus the research's protected domains and whether the widget is switched on. Use get_embed for a format's settings and install snippet.

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": {
      "researchId": "<researchId>"
    },
    "name": "list_embeds"
  }
}

Input Schema

NameRequiredDescriptionDefault
researchIdYesThe Frank research ID, as returned by list_researches.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds genuine context beyond them by disclosing what the response contains — embed IDs, protected domains, and the widget's enabled state — which is the main behavioral unknown for a list tool with no output schema.

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, both earning their place: the first front-loads scope and return contents, the second handles sibling disambiguation. No filler or restatement of the title.

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?

A one-parameter read tool with no output schema, and the description compensates by naming the returned fields. Annotations carry the safety profile, and there is nothing else an agent needs to invoke 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 coverage is 100% and the single researchId already carries a description pointing at list_researches. The description only echoes the scope ('for one research'), adding no format or constraint detail beyond the schema, so the baseline 3 applies.

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 and resource ('Lists the website widget formats Frank offers for one research') and enumerates the exact members (floating, inline, popup) plus what each carries. It also distinguishes itself from get_embed, so an agent can tell the two apart 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 Guidelines4/5

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

Explicitly routes the agent: 'Use get_embed for a format's settings and install snippet,' establishing the boundary between listing formats and reading one format's configuration. No explicit exclusion for when-not to call it, which keeps it short of a 5.

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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