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SelfPy

science-ai-mcp-server

Get Article Writer Pipeline Status

get_writer_pipeline_status

Check the status of a writer pipeline job by session ID and section. Returns current state: done, failed, or aborted.

Instructions

Return the latest writer-pipeline job for a (sessionId, section). Use after start_writer_pipeline and poll every 5-10 seconds. Terminal statuses: 'done', 'failed', 'aborted'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionIdYes
sectionNo
Behavior3/5

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

No annotations are present, so the description carries the full burden. It mentions terminal statuses but does not describe non-terminal states, the response structure, or error behavior (e.g., if no job exists). This leaves some gaps in behavioral understanding.

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 sentences: first states the core function, second gives usage instructions and terminal statuses. Every word is purposeful, no redundancy.

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, the description should clarify the response format. It only mentions terminal statuses but not how they are returned (e.g., as a status field). Also missing details on error handling or what a non-terminal response looks like, which is important for a polling tool.

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?

The description names the parameters 'sessionId' and 'section' but adds no meaning beyond what the input schema provides. The schema has 0% description coverage, so the description should compensate, but it only restates the parameter names and the enum values implicitly. It does not explain what 'section' represents or provide usage context.

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?

The description clearly states it "Return the latest writer-pipeline job for a (sessionId, section)." It specifies the verb 'Return', the resource 'latest writer-pipeline job', and the required parameters. This clearly distinguishes it from sibling tools like start_writer_pipeline and others.

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

Usage Guidelines5/5

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

Explicitly instructs to use after `start_writer_pipeline` and to poll every 5-10 seconds. It also lists terminal statuses, providing clear guidance on when to use and what to expect.

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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