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PaperGraph MCP

PaperGraph MCP

by lotchuazzz-crypto
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

get_environment_diagnostics

Check PaperGraph version and retrieve launch diagnostics to troubleshoot setup issues. Use to verify environment readiness before running analysis.

Instructions

Return PaperGraph version and reproducible launch diagnostics.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_environment_diagnostics"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.9.3

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the high-level return content but says nothing about side effects, error behavior, what 'reproducible launch diagnostics' includes, or whether any checks are performed. The risk is low for a 0-parameter read-only tool, but the disclosure is thin.

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?

A single sentence that front-loads the verb and resource with zero filler. Every word earns its place, and the length is appropriate for a parameterless tool.

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?

Given the absence of an output schema and annotations, the description is the agent's only source of information. It covers the essentials for making the call, but 'reproducible launch diagnostics' is vague and the description does not distinguish this tool from get_dependency_diagnostics or explain what the returned diagnostics enable.

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?

The tool has zero parameters and the schema trivially covers 100%, so there is nothing for the description to explain. Per the baseline for 0-parameter tools, a 4 is appropriate since no semantic gap exists.

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 uses a specific verb ('Return') with a clear resource ('PaperGraph version and reproducible launch diagnostics'), stating exactly what the tool produces. While it doesn't explicitly name a sibling alternative, no other sibling tool covers environment diagnostics, so it is implicitly distinguishable.

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?

There is no guidance on when to invoke this tool, no mention of alternatives such as the closely named get_dependency_diagnostics, and no exclusions. The agent must infer that this is for launch/environment troubleshooting entirely from the name.

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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