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describe_nft

Read-only

Genera una descripcion poetica para un NFT de videodanza basado en sus parametros de composicion.

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": {
      "seed": "<seed>",
      "token_id": "<token_id>"
    },
    "name": "describe_nft"
  }
}

Input Schema

NameRequiredDescriptionDefault
seedYesLa semilla que genero la composicion
token_idYesID del token NFT
blend_modeNoBlend mode usado
music_trackNoID del track musical
video_countNoNumero de capas de video

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds that the output is a 'poetic description' derived from composition parameters, implying generative open-ended text. It does not disclose determinism (does the same seed yield the same text?), output language, or length, which are meaningful for a generation tool.

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?

A single front-loaded sentence with no filler. Efficient, though it is so terse that it leaves behavioral and usage gaps unaddressed.

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

Completeness3/5

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

There is no output schema, and the description does state the return type ('descripcion poetica'), which is the key missing piece normally. However, for a generative tool with two required inputs and open-world behavior, it says nothing about determinism, length, or what happens with optional parameters, leaving real gaps.

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%, so all five parameters are documented in the schema; baseline 3 applies. The phrase 'parametros de composicion' collectively frames the inputs as composition metadata, but adds no per-parameter meaning beyond what the schema already states (seed, token_id, blend_mode, etc.).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Genera una descripcion poetica para un NFT de videodanza'. Clear enough that an agent knows it produces text, not an image or on-chain action. It does not explicitly contrast with siblings like generate_composition or composicion_premium, so it falls short of a 5.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is given, and no alternative tools are named. The clause 'basado en sus parametros de composicion' hints at input, but an agent has no signal about when to call this versus generate_composition or composicion_premium.

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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