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scalingx666-ai

Awesome Paper MCP

list_sources

Lists all available paper sources with their capabilities, tool names, and missing credentials so you can choose the right backend before searching.

Instructions

List every paper source available through this server, with its capabilities, tool names and any missing credentials.

Call this first to decide which backend to use.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does disclose the returned content categories, including 'missing credentials' — valuable context telling the agent it can detect unconfigured backends before attempting work. It doesn't state side effects, but a listing operation needs little more.

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 short sentences, zero filler, with the payload description first and the call-ordering instruction second. Nothing could be removed without losing information.

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?

An output schema exists and no parameters or annotations are needed, so the description only has to establish purpose and onboarding role — both are present. Nothing an agent needs to call it correctly is missing.

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?

Zero parameters, so the baseline is 4. There is nothing for the description to disambiguate and it does not waste words on nonexistent inputs.

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?

States a specific verb and resource ('List every paper source available through this server') and enumerates what the listing contains: capabilities, tool names, missing credentials. This is clearly distinct from siblings like search_papers or get_paper, which operate on papers rather than backends.

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?

'Call this first to decide which backend to use' gives explicit ordering and a decision purpose, which is strong guidance. It stops short of naming call_source_tool as the follow-on, but the routing intent is unambiguous.

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