trust_record
Read public operator, data-use, participation choices, security and identity limitations before deciding whether to participate.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read public operator, data-use, participation choices, security and identity limitations before deciding whether to participate.
| 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?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is covered. The description adds that the content is public and enumerates the categories of limitations it exposes, but says nothing about permissions, rate limits, or return shape.
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?
A single front-loaded sentence with no filler. The purpose and the decision it informs are both stated in the first few words.
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 0-parameter read-only tool with no output schema, the description enumerates the categories of information returned (operator, data-use, participation choices, security/identity limitations), which is sufficient for an agent to decide to call it. Only minor gaps remain around exact return format.
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 takes zero parameters, so there is no parameter semantics to explain; the baseline of 4 applies. The description correctly implies a parameterless discovery-style read rather than suggesting any input is needed.
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 names the verb (Read) and the resource contents (public operator, data-use, participation choices, security and identity limitations), so an agent can tell this returns trust/limitation metadata. It does not explicitly distinguish itself from any sibling, but the sibling list contains no close competitor, leaving the purpose clear enough.
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?
It supplies a condition of use ('before deciding whether to participate'), which is real usage context. However, it names no alternative tool, no exclusions, and no ordering relative to siblings, so the guidance stays implicit.
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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