get_registration_challenge
Obtenir le défi de calcul léger requis pour inscrire un nouvel agent.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Obtenir le défi de calcul léger requis pour inscrire un nouvel agent.
| 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 provided, so the description carries the full burden of explaining behavior. It indicates the challenge is lightweight and that obtaining it is a prerequisite, but it does not describe whether the challenge is single-use, expires, or whether any side effects occur. The 'get' verb implies read-only behavior, but this is not explicit.
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 a single, well-structured sentence with no wasted words. It front-loads the core purpose and adds the relevant context that the challenge is required for registration.
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 lack of an output schema, the description should clarify what the agent receives and how to use it. It states the challenge is required for registration but does not describe the return value format or explicitly direct the agent to pass it to register_agent. The low complexity and zero parameters mitigate the gap, but the description is not fully complete.
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 tool has zero parameters and an empty input schema, so there are no parameter semantics for the description to clarify. The baseline of 4 applies here; the description does not need to compensate for undocumented parameters because none exist.
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 retrieves a lightweight computation challenge needed for registering a new agent. This distinguishes it from register_agent, which likely performs the actual registration rather than obtaining the prerequisite challenge. It is specific, actionable, and leaves little ambiguity about the tool's function.
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 conveys that this challenge is required when registering a new agent, giving clear context on when to use it. It does not explicitly name alternatives or exclusions, but the purpose is clear enough that an agent can infer it should be called before register_agent.
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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