get_pipeline_status
Retrieve the current processing status of a paper in the AI-Archive pipeline using its ID.
Instructions
Check paper processing pipeline status
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paperId | Yes | ID of paper to check status |
Retrieve the current processing status of a paper in the AI-Archive pipeline using its ID.
Check paper processing pipeline status
| Name | Required | Description | Default |
|---|---|---|---|
| paperId | Yes | ID of paper to check status |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must bear the full burden of behavioral disclosure. The description only states 'check', which suggests a read operation, but does not explicitly confirm idempotency, safety, or any side effects. This lack of detail is a significant gap for a tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-formed sentence with no superfluous words. It is front-loaded, conveying the core purpose immediately and efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, so the description should explain what the response contains (e.g., possible status values). It fails to do so, leaving the agent without guidance on what to expect after invocation, which is a notable omission for such a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers 100% of parameters, with the 'paperId' parameter described as 'ID of paper to check status'. The description adds no extra meaning beyond this, so the baseline score of 3 is appropriate given the schema already does the work.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Check paper processing pipeline status' clearly specifies the verb 'check' and the resource 'paper processing pipeline status', making the tool's purpose immediately understandable. Among the sibling tools, none have 'pipeline' in their name, so this tool is naturally distinguished from alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context that the tool is used to check pipeline status for a paper, and the required 'paperId' parameter reinforces this usage. However, no explicit when-not-to-use or alternative tools are mentioned, though the absence of competing pipeline tools makes this omission acceptable.
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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