Fetch the ERC-8004 compatible registration file for a Tracea-registered agent, including the KYA legal principal block.
| Name | Required | Description | Default |
|---|---|---|---|
| agent_address | Yes | Ethereum address of the agent |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the output content ('registration file' including KYA block) and implies a read operation via 'Fetch', but does not mention potential errors (e.g., agent not registered), return format, or prerequisites beyond the implicit registration 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 a single front-loaded sentence that uses concise, specific language without waste. Every phrase earns its place, efficiently conveying the tool's purpose and key detail about the registration file.
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?
The tool is simple (one param, no output schema), and the description adequately states what it returns, but it lacks details about output format, error conditions, or whether the address must be currently registered. For a minimal tool it is sufficient, yet some edge behavior is left unspecified.
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 schema covers the parameter with a basic description ('Ethereum address of the agent'), and the tool description adds meaningful context by specifying that the agent must be 'Tracea-registered'. This goes beyond the schema's generic address description, clarifying the expected input domain.
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 uses a specific verb ('Fetch'), identifies a clear resource ('ERC-8004 compatible registration file'), and adds a distinguishing detail ('including the KYA legal principal block'). This clearly distinguishes it from sibling tools like get_agent_info or get_agent_actions.
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 context by specifying 'for a Tracea-registered agent' and mentioning the KYA block, but it does not explicitly state when to use this tool over siblings or mention exclusions. There is no alternative tool named, so guidance is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools overlap in the information they return: get_agent_info, verify_agent, and is_agent_revoked all provide agent status or verification details. Descriptions help distinguish raw registry data from a comprehensive verification check, but the boundaries are somewhat blurry, potentially leading to misselection.
All tool names follow a consistent verb_noun pattern (get_, is_, log_, report_, verify_), with no mixed casing or unconventional naming. The use of different verbs for different actions is logical, though the get_ prefix dominates the read operations.
With 9 tools, the server is well-scoped and falls within the ideal 3-15 range. Each tool addresses a distinct need in the domain of agent identity verification and action logging, and none feel superfluous or redundant.
The server covers reading agent information, verifying identity, and logging actions, but lacks essential lifecycle operations such as registering, updating, or revoking agents. While this may be intentional for an external registry, it leaves notable gaps for a fully self-contained tool set.
