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Udemy: Respond to review

udemy_respond_to_review

Udemy: Public instructor response under a student review. Posts a public response under one student review, as you. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesResponse text.
review_idYesReview ID from list_reviews.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Annotations already flag a non-read-only, open-world, non-destructive write, and the description adds meaningful context on top: the response is public, confirmation is the default each call, and a Cotlet API key with app access is required. That gives the agent the side effects and preconditions it cannot infer from annotations alone.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the action, but the first two sentences restate each other ('Public instructor response under a student review' vs 'Posts a public response under one student review'), which is redundant. The confirmation and auth sentences earn their place.

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

Completeness4/5

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

For a two-parameter write tool with no output schema, the description covers the action, visibility, confirmation flow, and auth requirement well. It stops short of describing what a successful call returns, though that is a minor gap given 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 coverage is 100% (both params documented as 'Response text' and 'Review ID from list_reviews'), so the schema does the heavy lifting. The description adds only marginal framing ('one student review', 'public response') beyond the schema.

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 'Posts a public response under one student review,' and clarifies it is authored 'as you' (the instructor). This clearly separates it from siblings like udemy_reply_to_question and udemy_list_reviews.

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?

Gives clear context for invoking it (confirming each call before posting, switchable default) and warns that it 'reaches other people.' It does not explicitly route to sibling alternatives, but the situation for use is unambiguous.

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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