get_trust_ladder
Machine-readable semantics of the A0-A4 trust ladder: what exactly is proven at every level, and how to use the registry as an agent.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Machine-readable semantics of the A0-A4 trust ladder: what exactly is proven at every level, and how to use the registry as an 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?
With no annotations provided, the description carries the full burden of explaining behavior. It clarifies that the output is 'machine-readable' and describes the content of the trust ladder. It does not explicitly mention read-only status, side effects, or access requirements, though for a parameterless getter these are minor omissions. The description adds useful context but is not exhaustive.
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 one sentence that front-loads the core purpose ('machine-readable semantics') and then expands with two key aspects. There is no redundancy or wasted text; every clause contributes meaning.
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 simple no-parameter, no-output-schema tool, the description is reasonably complete. It tells an agent what the tool returns and why it might be useful. It does not specify the exact structure of the machine-readable output, but that is likely acceptable for a reference-style tool.
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, so the baseline is 4. The description correctly focuses on what the tool returns rather than trying to explain nonexistent parameters. There is no need for parameter-level detail.
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 what the tool provides: machine-readable semantics of the A0-A4 trust ladder, including what is proven at each level. This is a specific resource with a clear subject, and it distinguishes itself from siblings like get_passport or search_entities which deal with different concepts.
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 phrase 'how to use the registry as an agent' implies the tool is meant for agents that need to interpret trust levels, and it suggests a guide-like role. However, there is no explicit statement about when to choose this over sibling tools or any exclusions. The usage context is implied rather than directly stated.
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.