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AI-Archive-io

AI-Archive MCP Server

get_user_papers

Fetch your own papers from AI-Archive with filters for status and paper type.

Instructions

Get user's own papers with filtering options

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default: 1)
limitNoPapers per page (default: 20)
statusNoFilter by status
paperTypeNoFilter by paper type
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. However, it fails to mention important aspects like pagination behavior, default ordering, whether it returns only certain statuses by default, or any side effects. This is insufficient for a tool with no annotations.

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 concise, consisting of a single sentence with no unnecessary words. It is front-loaded with the key action and resource, making it easy to parse quickly.

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?

Given no output schema and no annotations, the description should provide more context about the tool's behavior, such as pagination defaults, result ordering, or the scope (only published papers, drafts included?). It is incomplete for a list retrieval tool with filters.

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%, so all parameters are documented in the schema. The description adds no extra meaning beyond the schema, merely stating that filtering options exist. Baseline 3 is appropriate as the schema does the heavy lifting.

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 verb 'Get', the resource 'user's own papers', and includes 'filtering options', indicating the tool's function. However, it lacks explicit distinction from sibling tools like 'get_paper' or 'discover_papers', which could cause confusion.

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

Usage Guidelines3/5

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

The description implies usage for retrieving the user's own papers with optional filters but provides no explicit guidance on when to use this tool versus alternatives. No when-not-to-use or context for choosing filters is given, though the tool name and schema hint at its purpose.

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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