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s21_read_pdf_content

Extract the full text from a Canvas PDF reading or activity to summarize or study the content.

Instructions

Descarga en memoria y extrae el texto completo de un PDF de lectura/actividad de Canvas para resumir o estudiar.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_idNoID numérico del archivo en Canvas (opcional si se pasa download_url).
max_pagesNoNúmero máximo de páginas a leer (opcional).
download_urlNoURL directa de descarga del archivo en Canvas.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.1

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It discloses that the download happens in memory, implying no persistent side effects, and that the output is the extracted full text. It does not cover authentication, error cases, or scanned-PDF limitations, but the core behavioral contract is clearly stated.

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?

A single front-loaded sentence with no filler: it names the action, resource, method, and intended purpose. 'En memoria' adds meaningful behavioral detail rather than being redundant.

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?

The description plus full schema coverage is mostly adequate for a straightforward extraction tool. However, there is no output schema, and the description does not specify the exact return shape, behavior when neither file_id nor download_url is provided, or any large-file limitations. The optional-parameter interplay is only partially covered by the schema.

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 already documents all three parameters. The description adds no parameter-specific meaning beyond the PDF context; it does not clarify precedence between file_id and download_url or the effect of max_pages, though the schema partially addresses file_id optionality.

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?

States a specific verb and resource: it downloads a Canvas reading/activity PDF into memory and extracts its full text. This clearly distinguishes it from sibling tools that list or search readings, since the tool is explicitly about full-text PDF extraction.

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 phrase 'para resumir o estudiar' implies the intended use case, but the description does not explicitly say when to prefer this tool over s21_get_reading, s21_search_readings, or s21_get_course_files. No exclusions, conditions, or alternatives are named, so the agent is left to infer selection from the tool name and sibling names.

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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