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Write Studocu Artifact

write-artifact

Create a Studocu artifact from typed content. Provide project_id and an artifact envelope; the artifact type defines the required content shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
artifactYesThe artifact to create. Pick type; each type defines its own content shape.
project_idYesUUID of the Studocu project that will own the artifact.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesArtifact kind returned by the write operation.
typeYesCreation type that was written.
titleYesHuman-readable title of the created artifact.
statusYesStable write status for successful creation writes.
projectIdYesUUID of the Studocu project that owns the created artifact.
artifactIdYesCanonical Studocu artifact URI for the created creation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that the artifact type dictates the content shape, which is useful framing, but it discloses no additional behavioral traits like permissions, side effects, or limits. No contradiction with annotations.

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 short sentences, front-loaded with the action and followed by the required inputs. Every clause earns its place with no filler.

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?

For a polymorphic write tool supporting five artifact types, the description never names or distinguishes the supported types, leaving that discovery entirely to the schema. An output schema exists so return values need no explanation, but the type-level guidance is a real gap given the complexity.

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 description coverage is 100%, so the schema fully documents project_id and the artifact envelope. The description restates the two inputs at a high level but adds no syntax or type-specific detail beyond what the schema already provides, making the baseline 3 appropriate.

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?

States a specific verb and resource ('Create a Studocu artifact from typed content') and clarifies the input contract ('project_id and an artifact envelope; the artifact type defines the required content shape'). It is clear but does not explicitly differentiate itself from siblings like read-artifact or request-creation.

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?

No guidance on when to use this tool versus alternatives such as request-creation or read-artifact, and no prerequisites or exclusions are stated. Usage must be inferred entirely from the name.

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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