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@argosvix/mcp-server

@argosvix/mcp-server

by argosvix
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

get_proposal_thread

Retrieve the full conversation thread of a proposal, including all questions and AI responses.

Instructions

Return the thread for a proposal (the questions asked so far and the AI's replies). Get proposalId from list_proposals.

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": {
      "proposalId": "<proposalId>"
    },
    "name": "get_proposal_thread"
  }
}

Input Schema

NameRequiredDescriptionDefault
proposalIdYesTarget proposal ID (from list_proposals, starts with prp_)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.30.0-alpha.14

TDQS

A4.3/5.0
Behavior3/5

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

No annotations provided; the description implies a read-only operation by stating 'return', but does not explicitly confirm safety, permissions, or error handling.

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?

Two sentences, both essential: first defines purpose, second gives usage guidance. No wasted words.

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

Completeness5/5

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

For a simple tool with one parameter and no output schema, the description fully covers what the agent needs to know.

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 coverage is 100% with a clear description of proposalId. The description adds value by specifying the source (list_proposals) and format (starts with prp_).

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 explicitly states it returns the thread for a proposal (questions and AI replies), differentiating from sibling tools like list_proposals or reply_proposal.

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

Usage Guidelines4/5

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

The description tells the user to get proposalId from list_proposals, providing a clear prerequisite. It does not explicitly exclude other uses, but the context is sufficient.

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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