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Ait0u5hi

canvas-scholar-mcp

by Ait0u5hi

Check Canvas API usage

canvas_api_usage
Read-onlyIdempotent

Check your current Canvas API request count and remaining rate-limit budget to avoid throttling before running large operations.

Instructions

How much Canvas API budget you've used this session — request count and Canvas's remaining rate-limit budget. Canvas throttles heavy bursts; this lets you check before running something big.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable context beyond these: it specifies the exact outputs (request count and remaining budget) and explains the throttling rationale. No contradiction exists, and the description enriches the safety profile with session-specific details.

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 with zero filler. The first sentence states the core purpose and outputs, and the second sentence provides motivation and timing. Information is front-loaded and every word earns its place.

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 parameterless, output-schema-less tool, the description is fully complete. It explains what the tool does, what it returns, and when to use it. There is no missing information an agent would need to invoke it correctly.

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 with 100% coverage. Per the rubric, a baseline of 4 is appropriate since there are no parameters to document. The description doesn't need to add parameter semantics because there are none.

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 states a specific verb and resource: 'check Canvas API budget' and specifies what it returns (request count and remaining rate-limit budget). It clearly distinguishes from all sibling tools, none of which are about API usage. The purpose is unambiguous and actionable.

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

Usage Guidelines4/5

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

The description provides clear guidance on when to use it: 'this lets you check before running something big' due to Canvas throttling heavy bursts. It doesn't explicitly state when not to use it, but given the tool's simplicity and lack of alternatives, this is sufficient. The context is clear and helpful.

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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