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May I use it like this?

check_license
Read-only

Yes / no / with a condition for one concrete use of a library, asset or API: commercial-app, inside-app-bundle (ship the files inside your app), redistribute-files (pass the files or a generator's outputs to your users), youtube, ai-training, client-work. Answers come from the official license or terms with the quote and URL, and the exact credit line when one is needed.

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": {
      "item": "<item>",
      "use": "<use>"
    },
    "name": "check_license"
  }
}

Input Schema

NameRequiredDescriptionDefault
useYes
itemYesEntry slug or name, e.g. poly-haven, lucide, elevenlabs

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered; the description adds real value by stating the answer derives from the official license or terms and is returned with the supporting quote and URL. It also discloses an extra output element, the exact credit line required, which an agent could not infer from schema or annotations. It stops short of covering failure modes such as an item with no known license or multiple conflicting licenses.

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?

The front-loaded 'Yes / no / with a condition' frames the return shape immediately, and the dense enum parentheticals earn their space. It is a single run-on sentence that would scan faster with the use categories broken into a list, but there is no filler.

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 two-required-parameter read-only tool with no output schema, the description supplies what matters: the answer taxonomy, the sourcing of the answer, and the presence of a quote, URL, and credit line. The only omission is behavior when the item slug is unknown or the license is ambiguous, which the agent would have to discover by calling.

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 only 50%, so the description must carry weight, and it does: it supplies plain-language glosses for inside-app-bundle and redistribute-files that the bare enum values do not convey. Three enum values (commercial-app, youtube, ai-training, client-work) are listed but not explained, which is the remaining gap.

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 names a specific action (answer yes/no/conditional for one concrete use) and a specific subject (a library, asset, or API license), and enumerates the exact use categories it judges. An agent can distinguish this from sibling lookups like get_asset or find_assets because the output is a licensing verdict, not a resource record.

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 scopes usage tightly by saying 'for one concrete use', which tells the agent to make one call per intended use rather than bundling, and the parenthetical glosses tell the agent which enum value matches its situation. What is missing is any explicit exclusion (e.g., what to do for an item not in the catalog) or pointer to a sibling when the question is about pricing or general terms rather than a specific use.

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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