list_suites
List exam suites (id, kind oneshot|challenge, n_items). No oracles.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List exam suites (id, kind oneshot|challenge, n_items). No oracles.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the behavioral burden. It adds useful context with 'No oracles' and clarifies the returned fields, but it does not explicitly state read-only behavior, side effects, or other invocation caveats.
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 very compact and front-loaded: the verb, resource, and key output fields appear immediately. The additional 'No oracles' caveat is terse but meaningful, and no words are wasted.
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?
For a zero-parameter list tool with no output schema, the description covers the core return information and adds the important 'no oracles' caveat. It could explicitly route to a sibling for more detail, but nothing essential for invoking the tool is missing.
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?
The input schema is empty with zero parameters, which is the baseline-4 case. The description correctly focuses on output semantics instead of inventing parameter details.
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?
States a specific verb ('List') with a clear resource ('exam suites') and enumerates the returned fields, including the kind enum values oneshot|challenge. It is distinguishable from siblings like read_suite, though it does not name them explicitly.
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?
No guidance is given about when to use this tool versus alternatives such as read_suite or list_open_challenges, and there are no 'when not to use' conditions. Usage is only implied by the verb 'List'.
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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