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PaperGraph MCP

PaperGraph MCP

by lotchuazzz-crypto
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

workspace_export_reading_bundle

Export a complete evidence bundle for a paper, including theorem dependencies and usage locations, to support paper reading.

Instructions

Export a paper-level evidence bundle for paper-reading consumers.

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": {
      "paper_id": "<paper_id>"
    },
    "name": "workspace_export_reading_bundle"
  }
}

Input Schema

NameRequiredDescriptionDefault
paper_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.9.3

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It only says 'Export a bundle,' without stating whether the tool is read-only, what format the bundle takes, whether it modifies workspace state, or any output/limits. The phrase is not contradictory but is minimal.

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?

A single sentence with no filler; the core action is front-loaded. It is concise, though some terms like 'evidence bundle' are undefined, which the conciseness itself does not resolve.

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

Completeness2/5

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

With no output schema and no annotations, the description must explain what the returned bundle is and how it behaves; it does neither. For an export-style tool among many similar reading/export siblings, the current text is too incomplete for reliable selection and invocation.

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 description never mentions paper_id. The term 'paper-level' gives weak contextual confirmation that the ID refers to a paper, but no format, source, or usage example is provided, leaving the agent to infer from the parameter name alone.

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 names a specific verb, 'Export', a resource ('paper-level evidence bundle'), and the intended audience ('paper-reading consumers'). It is more informative than a tautology, though it does not explicitly differentiate itself from sibling export tools like workspace_export_result_reading_context beyond the 'paper-level' qualifier.

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 choose this tool over the many sibling export/reading tools. The description implies it operates at the paper level, but it never states when this bundle is preferable to workspace_export_result_reading_context or workspace_export_reading_session_summary, nor any 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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