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viridis-agent-fleet

viridis-agent-fleet

by jdhart81
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

narrative-engine__describe_agent

Describes the narrative-engine agent's capabilities, inputs, and outputs for grant, investor, or policy narrative generation.

Instructions

[narrative-engine — grant/investor/policy narrative generation] Fleet-standard self-description: capabilities, inputs, outputs.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "narrative-engine__describe_agent"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.12
  2. Removedv0.1.11
  3. Changed2 schema fields changedv0.1.9
    • addedInput schema / required
      Added value: +[]
    • removedInput schema / title
      Removed value: -"describe_agentArguments"
  4. Changed2 schema fields changed
    • removedInput schema / required
      Removed value: -[]
    • addedInput schema / title
      Added value: +"describe_agentArguments"
  5. Changed2 schema fields changed
    • addedInput schema / required
      Added value: +[]
    • removedInput schema / title
      Removed value: -"describe_agentArguments"
  6. First observed

TDQS

C2.7/5.0
Behavior1/5

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

No annotations are provided, and the description lacks any behavioral details (e.g., read-only, safe, response format). It relies entirely on the minimal 'self-description' phrasing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise (one sentence), but under-specified. The bracketed domain prefix adds context, but the description could be more structured with bullet points for clarity.

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

Completeness2/5

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

Given no output schema and no annotations, the description should explain what 'capabilities, inputs, outputs' means in practice. Its brevity leaves ambiguity about what the agent will return.

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 has no parameters (100% coverage), so the description correctly implies no inputs are needed. The tool's simplicity is effectively communicated.

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?

The description states 'self-description: capabilities, inputs, outputs' which clearly identifies the tool's purpose as providing information about the agent. However, it does not distinguish from other describe_agent tools in the sibling list.

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 guidance on when to use this tool vs alternatives like other describe_agent tools or narrative-engine-specific tools. User must infer context from the bracketed prefix.

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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