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Generate complete verification configuration

generate_verification_config
Read-only

Create verification configurations for Self Protocol integration to enable privacy-preserving identity checks like age verification and airdrop eligibility in applications.

Instructions

Generate a complete verification configuration based on requirements

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requirementsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate readOnlyHint=true, suggesting a safe read operation, but the description's use of 'generate' could imply creation or mutation. However, it does not explicitly contradict annotations, as 'generate' might align with read-only data generation. The description adds no behavioral context beyond annotations—no details on rate limits, authentication needs, or output behavior—resulting in minimal added value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words, making it appropriately concise. It is front-loaded with the core action, though it lacks depth. While under-specified, its brevity is not a flaw in structure, earning a high score for conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (with nested objects and an output schema), the description is incomplete. It does not explain what a 'verification configuration' is, how it relates to siblings, or what the output entails. Although an output schema exists, the description fails to provide necessary context for effective use, leaving significant gaps in understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage and one parameter ('requirements'), the description does not compensate for the lack of schema details. It mentions 'based on requirements' but provides no insight into what these requirements entail, their structure, or examples. This leaves the parameter meaning unclear, failing to add meaningful semantics beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Generate a complete verification configuration based on requirements' restates the title almost verbatim, making it tautological. It specifies the verb 'generate' and resource 'verification configuration' but lacks specificity about what this configuration entails or how it differs from sibling tools like 'generate_eu_id_verification' or 'generate_config_id'. This minimal differentiation results in a vague purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or exclusions, and fails to differentiate from siblings such as 'generate_eu_id_verification' or 'generate_config_id'. Without any implied or explicit usage instructions, it leaves the agent guessing about appropriate scenarios.

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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