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sciflow-mcp
by Claybarn

export_artifact

Write an analysis artifact to disk as .npz, .mat, .csv, or a long-format table for reproducible mixed-effects modeling in R or statsmodels.

Instructions

Write an artifact to disk as .npz, .mat (Collate struct layout, readable in MATLAB), .csv, or 'table': a long-format CSV with one row per element and columns for every axis plus subject / condition / other attributes of stacked sessions (ready for mixed-effects models in R or statsmodels).

Input Schema

NameRequiredDescriptionDefault
pathYes
formatNo
artifact_idYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses output formats (e.g., .mat layout, table structure) but omits critical write behavior such as overwrite semantics, permissions, or error handling.

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 front-loaded with the action and format options, and is relatively concise. The parenthetical detail about .mat and table formats is useful but slightly dense.

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 annotations, 0% schema coverage, and an output schema, the description is incomplete: it lacks parameter explanations, usage context, and behavioral details needed for safe and correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameters. It only lists format options (which are already defined as an enum in the schema) and provides no information about the required 'artifact_id' or 'path' parameters.

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 a specific verb ('Write') and resource ('artifact to disk') and lists supported formats. It distinguishes itself from siblings like export_workflow by focusing on artifact export, though it does not explicitly name alternatives.

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?

The description implies the tool's use for writing artifacts but provides no explicit guidance on when to use it versus alternatives such as export_workflow or import_data. No prerequisites or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.