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superpos-mcp

superpos-mcp

Official
by Superpos-AI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

superpos_link_task_to_issue

Link an existing task to an issue to keep work traceable, for instance when a subtask is created to resolve the issue.

Instructions

Attach an existing task to an issue so the work stays traceable — e.g. when you spawn a subtask (superpos_create_task) to resolve the issue.

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": {
      "issue_id": "<issue_id>",
      "task_id": "<task_id>"
    },
    "name": "superpos_link_task_to_issue"
  }
}

Input Schema

NameRequiredDescriptionDefault
hive_idNo
task_idYes
issue_idYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only states the basic linking action without disclosing side effects, permissions, idempotency, or consequences of linking.

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?

The description is a single, well-formed sentence with a front-loaded action and a relevant example, containing no unnecessary words.

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 has three parameters and an output schema, but the description omits parameter details and behavioral context. It is minimally adequate for a simple linking tool but leaves gaps for the agent.

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%, and the tool description does not explain the parameters (hive_id, task_id, issue_id) beyond their names, failing to add meaningful context.

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 action ('Attach an existing task to an issue') and provides a concrete use case example involving a sibling tool, distinguishing it from similar siblings like link_issue.

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 gives a specific scenario ('when you spawn a subtask to resolve the issue') that implies when to use this tool, but does not explicitly state when not to use it or list alternatives.

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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