Coursera MCP Server

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 effectively communicates that this is a read-only operation ('View'), requires authentication, and specifies the data returned. It doesn't mention potential rate limits, error conditions, or pagination, but covers the core behavior adequately for a read tool.

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

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

The description is extremely concise—two sentences with zero wasted words. The first sentence front-loads the purpose and output details, and the second adds critical authentication requirement. Every element earns its place.

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

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

Given the tool's low complexity (read-only, two optional parameters) and lack of annotations/output schema, the description is reasonably complete. It covers what the tool does, what it returns, and authentication needs. A minor gap is no mention of output format (e.g., JSON structure), but for a simple list tool, this is acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already fully documents both parameters (email and password) with their optional nature and environment variable fallbacks. The description doesn't add any parameter-specific information beyond what's in the schema, meeting the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('View all earned Coursera certificates') and lists the exact data returned ('titles, issuers, dates, and verification URLs'). It distinguishes itself from sibling tools like 'get_course_details' or 'get_my_courses' by focusing specifically on certificates rather than courses.

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

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

The description provides some usage context by stating 'Requires authentication,' which implies when authentication is needed. However, it doesn't explicitly guide when to use this tool versus alternatives like 'get_my_courses' (which might list enrolled courses but not certificates) or mention any prerequisites beyond authentication.

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