Read Ventru trust semantics
ventru_trust_profileReturn what each Ventru assurance label means, the evidence behind Ventru's own claims, and whether the review is current.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
ventru_trust_profileReturn what each Ventru assurance label means, the evidence behind Ventru's own claims, and whether the review is current.
| 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?
The readOnlyHint annotation already establishes that this is a safe read operation. The description adds useful behavioral context by noting that it returns evidence and review currency, but it does not describe output structure, freshness semantics, or limitations.
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 with three tightly scoped clauses and no wasted text. Every clause describes a distinct part of the returned information.
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 zero-parameter, read-only informational tool with no output schema, the description adequately explains what will be returned: label meanings, evidence, and currency. It could be slightly more complete by indicating the shape or granularity of the returned trust profile.
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 parameter semantics are not applicable. The baseline score of 4 is appropriate because there is no parameter ambiguity to resolve.
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 states a specific verb and resource: it returns the meanings of Ventru assurance labels, the evidence behind claims, and whether the review is current. This clearly differentiates the tool from the action-oriented siblings, though it does not explicitly name alternatives.
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?
There is no explicit when-to-use guidance, no exclusions, and no named alternatives. The content implies it is for understanding trust labels, but an agent must infer the usage context.
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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