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leximo-ai-call-assistant-mcp-server

leximo-ai-call-assistant-mcp-server

Official
by Leximo-AI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

get_assignment_proposals

Retrieves AI enhancement suggestions for task descriptions. Use it to refine instructions before finalizing an assignment.

Instructions

Get AI-generated enhancement proposals for a task description. IMPORTANT: Always call this BEFORE create_assignment to improve the task instructions. Pass the user's task description and present the enhanced suggestions to the user for approval before proceeding with assignment creation.

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": {
      "task": "<task>"
    },
    "name": "get_assignment_proposals"
  }
}

Input Schema

NameRequiredDescriptionDefault
taskYesNatural language description of the assignment task

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.1/5.0
Behavior3/5

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

No annotations provided, so description carries burden. It describes what the tool returns but does not explicitly state it is read-only or non-destructive. Could improve by noting no side effects.

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?

Two sentences with important usage instruction in caps. Efficient and no fluff, though could be slightly more concise by integrating the instruction into the first sentence.

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

Completeness4/5

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

Given low complexity (1 param, no output schema), description covers purpose and usage workflow. Missing return format but adequate for the tool's simplicity.

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 coverage is 100%, and description adds 'Pass the user's task description' which essentially repeats the schema's description. No additional semantic value.

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 tool gets AI-generated enhancement proposals for a task description, using a specific verb and resource. It also distinguishes from sibling tool create_assignment by indicating it should be called before it.

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

Usage Guidelines5/5

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

Explicit guidelines: 'Always call this BEFORE create_assignment' and 'present the enhanced suggestions to the user for approval'. Provides clear workflow context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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