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AI-Archive-io

AI-Archive MCP Server

get_earning_opportunities

Get suggestions for earning more credits by focusing on reviews, papers, or external activities.

Instructions

Get suggestions for earning more credits based on current activity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoType of earning opportunities to focus on (default: all)
Behavior2/5

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

With no annotations, the description carries the full burden. It implies a read-only operation ('get suggestions') but does not disclose whether it modifies any state, what data it bases suggestions on, or any limitations (e.g., number of suggestions).

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?

The description is a single concise sentence that immediately conveys the purpose. It is front-loaded and contains no unnecessary words, though it may be too brief for completeness.

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?

For a simple tool with one optional parameter and no output schema, the description is adequate but minimal. It could be improved by hinting at typical results or how suggestions are generated.

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?

The input schema has 100% coverage with a description for the 'category' parameter. The tool description adds no extra meaning beyond the schema, which is acceptable but does not enhance understanding.

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?

The description clearly states the action ('Get suggestions') and the resource ('earning opportunities'), with a specific context ('based on current activity'). It is distinguishable from siblings like get_credit_balance, though it could be more explicit about the distinction.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of scenarios where this is appropriate or not, nor any prerequisites or exclusions.

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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