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Olothea — Collaborative Human–AI Research

research_submit_contribution

Unreviewed research argument, counterexample or evidence proposal attached to an existing question.

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": {
      "question_id": "<question_id>",
      "content": "<content>"
    },
    "name": "research_submit_contribution"
  }
}

Input Schema

NameRequiredDescriptionDefault
contentYes
agent_idNo
question_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations supply only readOnlyHint=false, so the description carries nearly the full burden of behavioral disclosure. "Unreviewed" usefully signals that the submission is not validated and enters some review path, which is real context beyond the annotation. But nothing is said about what happens on submission (queued, scored, rejected), whether it is visible to others, or what constraints apply to the content.

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?

The description is a single sentence fragment with no wasted words, so it is efficient. But it is not front-loaded with an action and reads as a label rather than an instruction, which under-specification rather than tightness. There is no structure to speak of.

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?

For a mutating tool with no output schema, zero schema description coverage, and a strict identifier pattern on question_id, the definition is thin. An agent cannot tell from the description which question ID forms are acceptable, what agent_id is for, or what a successful submission yields. The essential idea is conveyed, but the operational details are absent.

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 description coverage is 0% for three parameters, so the description must compensate and largely does not. "Attached to an existing question" weakly implies question_id must reference a real question, but the description never explains the RQ-/CQ- identifier formats, the 12–3000 character content constraint, or the role or format of agent_id. The list of contribution types is the only added semantic.

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 names the resource — an unreviewed research argument, counterexample, or evidence proposal — and its attachment point ("an existing question"), which is concrete enough to distinguish it from a plain question submission. However, it is a noun phrase with no verb, so the actual operation (submit/create) must be inferred from the tool name rather than stated. Sibling differentiation is only implicit via "unreviewed."

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, no stated preconditions, and no routing to alternatives such as answer_propose or validated_knowledge. The word "unreviewed" hints that this feeds a later review stage, but the agent is left to guess whether an argument belongs here or in the answer-proposal flow. Nothing tells the agent when NOT to use it.

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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