Skip to main content
Glama

identify_problematic_peer_reviews

Read-only

Flag peer reviews that may need instructor attention by analyzing reviews for potential issues using custom criteria.

Instructions

Flag reviews that may need instructor attention.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
criteriaNoJSON string of custom flagging criteria
assignment_idYesCanvas assignment ID
course_identifierYesCourse code or Canvas ID

Schema Changelog

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

  1. Changed1 schema field changedv1.10.0
    • changedOutput schema / (root)
      Previous value: -{
      -  "properties": {
      -    "result": {
      -      "type": "string"
      -    }
      -  },
      -  "required": [
      -    "result"
      -  ],
      -  "type": "object",
      -  "x-fastmcp-wrap-result": true
      -}New value: +null
  2. Changed11 schema fields changedv1.8.0
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / assignment_id / description
      Added value: +"Canvas assignment ID"
    • removedInput schema / properties / assignment_id / title
      Removed value: -"Assignment Id"
    • addedInput schema / properties / course_identifier / description
      Added value: +"Course code or Canvas ID"
    • removedInput schema / properties / course_identifier / title
      Removed value: -"Course Identifier"
    • addedInput schema / properties / criteria / description
      Added value: +"JSON string of custom flagging criteria"
    • removedInput schema / properties / criteria / title
      Removed value: -"Criteria"
    • removedInput schema / title
      Removed value: -"identify_problematic_peer_reviewsArguments"
    • removedOutput schema / properties / result / title
      Removed value: -"Result"
    • removedOutput schema / title
      Removed value: -"identify_problematic_peer_reviewsOutput"
    • addedOutput schema / x-fastmcp-wrap-result
      Added value: +true
  3. Changed1 schema field changedv1.0.0
    • addedInput schema / title
      Added value: +"identify_problematic_peer_reviewsArguments"
  4. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations provide readOnlyHint=true, and the description does not contradict this—'flag' likely means identify in a read-only manner. However, the description adds minimal behavioral detail beyond the annotation, such as what constitutes 'problematic' or the output format.

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 a single, direct sentence with no wasted words, efficiently conveying the core purpose.

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

Completeness2/5

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

The tool description is too terse for the complexity of flagging criteria. It lacks details on what defines 'problematic', how criteria are applied, or what the output/results look like, especially with no output 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 all parameters are already documented. The tool description adds no additional semantics beyond the schema, including no clarification of the 'criteria' parameter.

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?

The description clearly states the tool's action: flagging reviews that may need instructor attention. It uses a specific verb and resource, but does not explicitly differentiate from sibling tools like 'analyze_peer_review_quality' or 'get_peer_review_completion_analytics'.

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 is given on when to use this tool versus alternatives. There is no mention of context, prerequisites, or situations where other review analysis tools would be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vishalsachdev/canvas-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server