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viridis-agent-fleet

viridis-agent-fleet

by jdhart81
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

compute-ledger__verify_inventory_chain

Verify an agent's inventory hash chain independently of compute work to ensure ledger integrity.

Instructions

[compute-ledger — compute-is-carbon energy/carbon ledger] Verify an agent's inventory hash chain independently of compute work.

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": {
      "agent_id": "<agent_id>"
    },
    "name": "compute-ledger__verify_inventory_chain"
  }
}

Input Schema

NameRequiredDescriptionDefault
agent_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.12
  2. Removedv0.1.11
  3. Changed2 schema fields changedv0.1.9
    • removedInput schema / properties / agent_id / title
      Removed value: -"Agent Id"
    • removedInput schema / title
      Removed value: -"verify_inventory_chainArguments"
  4. Added

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions independence from compute work, which is helpful, but omits side effects, authentication requirements, rate limits, or return behavior upon success/failure. For a verification tool, this is minimal transparency.

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 description is short and front-loaded with the core action. The bracket prefix is slightly noisy but not a major distraction. The single sentence is efficient, though it could be trimmed.

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?

The tool is simple with one parameter and no output schema. The description covers the basic purpose and a key behavioral aspect (independence). However, it lacks details about the verification result format (e.g., Boolean, hash, error messages), which would help an agent interpret the response.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description should elaborate on parameters. The only parameter, agent_id, is not explained beyond what the schema provides (type string). The description only says 'an agent's inventory hash chain,' which implicitly links agent_id to the agent but adds no semantic detail.

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 clearly states the tool verifies an agent's inventory hash chain, using distinct verbs and specifying the resource. The phrase 'independently of compute work' helps distinguish it from sibling tools like verify_chain that likely verify compute work chains.

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

Usage Guidelines3/5

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

The description implies the tool is for verifying inventory hash chains without providing explicit guidance on when to use it versus alternatives like compute-ledger__verify_chain. No exclusions or alternative mentions are given.

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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