UAAR University MCP Server

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

Annotations indicate this is a non-read-only, non-destructive, idempotent, and open-world operation. The description adds value by specifying that submission requires confirmation ('Set confirmed=True to submit'), which isn't covered by annotations. It doesn't contradict annotations, as 'submit' aligns with readOnlyHint=false, and it provides useful context about the confirmation requirement.

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 highly concise and front-loaded, consisting of two clear sentences that directly state the tool's purpose and a key parameter requirement. There is no wasted text, and every sentence adds essential information, making it efficient and well-structured.

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 complexity (a submission operation with confirmation), annotations provide good behavioral context (non-destructive, idempotent), but there's no output schema. The description covers the core action and confirmation requirement, but it lacks details on error conditions, response format, or prerequisites. For a tool that likely has significant side effects, this is a minimal but adequate level of completeness.

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 0%, so the description carries the burden of explaining parameters. It mentions 'Set confirmed=True to submit,' which clarifies the semantics of the 'confirmed' parameter. However, it doesn't explain 'application_id' or provide additional details like format or constraints. With two parameters and low schema coverage, this partial compensation results in an adequate baseline score.

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 tool's purpose: 'Submit the admission form after user confirmation.' It specifies the verb ('submit') and resource ('admission form'), and includes a condition ('after user confirmation'). However, it doesn't explicitly differentiate from sibling tools like 'submit_help_ticket' or 'preview_admission_form', which could have overlapping contexts.

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 implies usage guidelines by mentioning 'after user confirmation' and 'Set confirmed=True to submit,' suggesting this tool should be used when the user has confirmed the form. However, it doesn't provide explicit alternatives (e.g., when to use 'preview_admission_form' instead) or exclusions, leaving some ambiguity about when this tool is the best choice among siblings.

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