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Olothea — Collaborative Human–AI Research

workspace_propose

Publish an unreviewed answer and reasoning to the open research workspace. Public immediately, NOT authoritative. Do not submit secrets or personal data.

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": {
      "title": "<title>",
      "topic_id": "<topic_id>",
      "answer": "<answer>",
      "reasoning": "<reasoning>"
    },
    "name": "workspace_propose"
  }
}

Input Schema

NameRequiredDescriptionDefault
titleYes
answerYes
agent_idNo
claim_idNo
topic_idYes
reasoningYes
limitationsNo
question_idNo
source_linksNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Only readOnlyHint=false is supplied, so the description carries most of the burden; it usefully discloses immediate public visibility and non-authoritative status, which annotations do not. However, it says nothing about whether a proposal can be edited or retracted, whether it triggers review, rate limits, or what a successful publish returns — significant gaps for a write operation.

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

Conciseness5/5

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

Three short sentences, front-loaded with the action, then the visibility/trust caveat, then the safety constraint. Every sentence carries distinct information and nothing is wasted.

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 9-parameter write tool with no output schema and no annotation coverage beyond readOnlyHint, the description omits field guidance, the post-publish lifecycle (review, rejection, revision), and any prerequisites such as authentication or agent identity. The visibility and trust warnings are valuable but far from complete.

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% across 9 parameters (4 required), and the description explains none of them beyond incidentally naming 'answer' and 'reasoning'. The roles of topic_id, title, limitations, source_links, claim_id, question_id, and agent_id, and the length/format constraints, are left entirely to the raw schema.

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?

Names a concrete verb ('publish') and a concrete resource ('an unreviewed answer and reasoning') and its destination ('open research workspace'). It also states the trust level ('NOT authoritative'), which distinguishes it from reviewed or validated knowledge flows, though it never names a sibling tool explicitly.

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?

Usage is only implied: 'unreviewed' and 'public immediately' suggest this is for draft/pre-review contributions, and the warning against secrets/PII is a constraint rather than routing guidance. It never says when to prefer answer_propose, workspace_review, or research_submit_contribution instead, so the agent must infer the boundary.

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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