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Nodehour: GPU capacity sized from your run and quoted by providers

Read a requirement as it stands

get_requirement
Read-onlyIdempotent

A Nodehour requirement as it stands: each value with where it came from, what it replaced, the open question, words not yet read, whether it was sent and any offer on it.

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": {
      "id": "<id>",
      "token": "<token>"
    },
    "name": "get_requirement"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesThe requirement id from an earlier answer
tokenYesIts private token (also the receipt token of the request it is sent as); keep it private

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive behavior, so safety is covered. The description adds return-content context beyond that: provenance per value, prior values replaced, open question, unread words, sent status, and any offer. That is genuine added value, but phrased so cryptically that the agent must guess at field meanings.

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 sentence, front-loaded and free of filler. It is dense but every clause names a distinct piece of returned data, with only mild compression costs ('words not yet read' being the least parseable).

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?

With no output schema, the description must carry the return shape, and it does attempt that with a list of included fields. However the list is telegraphic and leaves the agent unsure whether these are top-level fields, nested, or how large the payload is, which is a real gap for a tool whose only job is to return a structured record.

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 description coverage is 100%, so both parameters are documented in the schema, including id provenance and token privacy. The description adds nothing about parameters beyond that baseline, which is the expected 3 for a fully-covered two-parameter schema.

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?

The description implies a read of a single requirement ('A Nodehour requirement as it stands') and enumerates what the response contains, but never states a verb or that it fetches by id. Domain jargon ('Nodehour requirement', 'words not yet read') leaves the purpose only inferable rather than explicit, and no sibling such as inspect_offer or request_status is named to differentiate it.

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 and no named alternatives. The schema hint that the id comes 'from an earlier answer' is the only clue about call ordering, and nothing tells the agent whether to prefer this over inspect_offer or request_status when it wants offer or status data.

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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