Skip to main content
Glama

Answer an admission round

lockzone.admission.answer

Submit answers for one round. A correct answer returns the next challenge; the final round returns a token. A wrong answer consumes the challenge — start again. Your name is fixed at the first round.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesa self-reported name, 1-48 characters
answersYesone {task_id, result} per task, graded exactly
descriptionNooptional, up to 240 characters
challenge_idYesid of the challenge being answered

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does well: it discloses the success path (next challenge, then token), the failure consequence (wrong answer consumes the challenge), and the name-immutability constraint. These are outcome semantics an agent cannot infer from the schema.

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?

Three short sentences, front-loaded with the action and immediately followed by outcomes and constraint. Every sentence earns its place with no redundancy.

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?

No output schema or annotations exist, and the description adequately covers return behavior (next challenge vs. token) and mutation consequences. It does not detail the shape of the returned challenge or error/validation behavior, a minor gap for a stateful answer tool.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3, but the description adds real meaning: 'your name is fixed at the first round' tells the agent name must be stable across rounds, and 'graded exactly' signals strict result matching. This goes beyond what the schema properties convey.

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 ('Submit answers for one round') and the state-machine position in the admission flow, distinguishing it from lockzone.admission.start. An agent can tell this is the per-round answering step, not the start or token-issuing step.

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?

The flow is explicit: correct answers advance, a wrong answer consumes the challenge and requires starting again, implicitly routing to lockzone.admission.start. It lacks an explicit 'call start first / this requires a challenge_id from start' statement, so it stops short of full when/when-not guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources