Evidence Signal Requirements
get_evidence_signal_requirementsReturns MUJ428 evidence-check payment, network, endpoint, and assurance-pricing requirements before an autonomous payment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_evidence_signal_requirementsReturns MUJ428 evidence-check payment, network, endpoint, and assurance-pricing requirements before an autonomous payment.
| 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 annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, fully covering the safety profile. The description adds the contextual cue 'before an autonomous payment' but does not disclose any additional behavioral traits such as external dependencies, data sources, or return format nuances.
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 sentence, immediately front-loaded with the action verb 'Returns', and contains no filler or repetition. Every phrase adds meaningful information about the resource and context.
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 tool's simplicity (no parameters, clear read-only intent, no output schema), the description is largely complete: it names the specific resource, the categories of requirements, and the payment context. However, it lacks a description of the return structure or format, which could be useful since no output schema exists.
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 the schema coverage is 100%, so there is no parameter ambiguity to resolve. The baseline for 0-parameter tools is 4, and the description does not need to add parameter-level detail; it instead clarifies the output categories (payment, network, endpoint, assurance-pricing), which is acceptable.
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 'Returns' and names a concrete resource: 'MUJ428 evidence-check payment, network, endpoint, and assurance-pricing requirements'. It clearly differentiates the tool's purpose as a read-only retrieval of pre-payment requirements, distinct in scope from the sibling 'trust_action'.
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 'before an autonomous payment' clearly indicates the temporal context for using this tool. However, it does not explicitly mention when not to use it or discuss alternative tools like 'trust_action', so it stops short of full exclusion guidance.
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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