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chat

Read-only

Conversacion con el agente creativo entropiav2. Especializado en blockchain, arte generativo, danza y contratos inteligentes.

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": {
      "message": "<message>"
    },
    "name": "chat"
  }
}

Input Schema

NameRequiredDescriptionDefault
messageYesEl mensaje para el agente

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. Beyond that the description adds only subject-matter topics; it says nothing about whether the exchange is stateful or remembered, whether the agent can trigger other sibling actions (e.g. contract generation), or what kind of reply comes back. For an open-world conversational endpoint this is a real gap.

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?

Two short sentences with no filler, and the identity of the agent is front-loaded. The second sentence is topic trivia rather than operational detail, so it is not perfectly efficient, but nothing is padded.

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?

For a single-parameter, annotation-covered tool with no output schema, the definition covers the minimum: what it is and what it is about. It is still incomplete on conversational behavior and expected response, which matters for an open-world agent endpoint.

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?

Only one parameter exists and schema description coverage is 100%, so the schema already documents "message". The description adds no meaning about tone, language, length, or whether prior messages should be included, so the baseline 3 applies.

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

Purpose3/5

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

"Conversacion con el agente creativo entropiav2" states the resource (an agent) and the action (converse), which is better than a bare label, but it never says what the conversation produces or how it differs from sibling tools like get_agent_info or agent_check. The second sentence only lists topic domains, so an agent still cannot tell exactly what a call accomplishes.

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?

There is no when-to-use guidance at all: no condition that selects this tool over get_agent_info, agent_check, or generate_composition. The stated specializations (blockchain, generative art, dance, smart contracts) hint at topical scope but are not framed as usage criteria or exclusions.

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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