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Get artifact upload requirements

get_artifact_upload_requirements

Use this when an assistant needs instructions for CourseProfiler's REST artifact upload flow or needs to explain why hosted MCP cannot upload bare local paths. This is an instruction helper, not a raw-byte MCP upload tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
purposesYes
warningsYes
workflowYes
upload_flowYes
usage_after_uploadYes
local_file_guidanceYesGuidance for local file paths and hosted MCP clients.
accepted_mcp_file_formsYes

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that this is an 'instruction helper' and specifically not a raw-byte upload tool, and explains a limitation of hosted MCP. It does not explicitly state that it has no side effects, but the 'instruction helper' phrasing strongly implies a read-only, non-mutating behavior.

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?

The description is two sentences, front-loaded with the use case, and every word earns its place. It is compact without sacrificing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter instruction tool with an output schema, this description is complete. It explains when to use it, what it provides, and what it does not do. The output schema covers return-value details, so the description need not elaborate further.

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

Parameters4/5

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

The tool has zero parameters, and the schema is empty, so the baseline is 4. The description adds no parameter-specific meaning, but none is needed since the tool takes no inputs.

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 identifies the tool as providing instructions for CourseProfiler's REST artifact upload flow, using a specific verb ('get') and resource ('artifact upload requirements'). It explicitly distinguishes itself from a raw-byte MCP upload tool, differentiating it from siblings like get_artifact.

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?

The description opens with 'Use this when' and provides two concrete scenarios: needing instructions for the upload flow or explaining why hosted MCP cannot upload bare local paths. It also includes a when-not by stating it is 'not a raw-byte MCP upload tool,' giving the agent clear boundaries.

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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TDQS

A4.1/5.0
Disambiguation4/5

Each tool targets a distinct step in the course/race-planning workflow, and descriptions carefully separate concerns like importing, enriching, segmenting, and generating a plan. The main ambiguity is among the multiple get_*_requirements helpers, but their target phases are clear enough to avoid persistent misselection.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (create_, enrich_, export_, generate_, get_, import_, search_, submit_, validate_). There is no mixing of camelCase or inconsistent verb styles, making the API predictable and easy to navigate.

Tool Count4/5

With 16 tools, the server is at the upper edge of the ideal range but each tool serves a distinct purpose in a complex pipeline covering course import, enrichment, segmentation, runner profiling, plan creation, PDF export, validation, and catalog submission. The count feels justified for the domain rather than bloated.

Completeness4/5

The toolset covers the full lifecycle from course discovery/import through enrichment, segmentation, runner profiling, race plan generation, PDF export, and catalog submission. Minor gaps exist, such as lack of artifact list/delete/update tools and no direct race-plan editing, but agents can work around these via get_artifact and get_job.

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