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read_course_file

Extract text from Canvas course files in PDF, DOCX, or plain text format. Supply the course identifier and file ID to get the file's content.

Instructions

Fetch a course file's content and return extracted text. Supports PDF, DOCX, and plain text. Find file_id via list_course_files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_idYes
course_identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does state the tool supports PDF, DOCX, and plain text, and returns extracted text, which is useful. However, it lacks any mention of safety (whether it is read-only), error handling, rate limits, or performance considerations. It is adequate but not rich.

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 long with zero filler. It front-loads the primary purpose and then adds a practical note about acquiring the file_id. Every sentence earns its place.

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 two-parameter tool with an output schema, the description covers the core operation: fetching a file and returning text. It points to a sibling for the prerequisite ID. However, it omits any mention of authentication, error conditions, or whether the operation is read-only. Given the simplicity, this is minimally adequate but not complete.

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 schema has 0% description coverage, so the description must compensate. It explains that file_id can be found via list_course_files, but it does not clarify the purpose or format of course_identifier. The agent is left to guess what course_identifier represents, making the parameter semantics incomplete.

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 the verb 'Fetch' with a specific resource ('course file's content') and the output ('return extracted text'). It also implicitly differentiates from list_course_files by mentioning how to find file_id, and from get_page_content because it targets files from a known list of course files.

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

Usage Guidelines3/5

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

The description gives a concrete instruction on how to obtain file_id via list_course_files, which implies a prerequisite. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions (e.g., 'use get_page_content for pages'). Usage is implied rather than explicitly routed.

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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