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generate_token

Generate secure random tokens for authentication, API keys, or session IDs using configurable length and character sets.

Instructions

Generate secure random tokens

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lengthNoToken length
charsetNoCharacter set to use
customCharsNoCustom characters (required if charset is 'custom')
Behavior3/5

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

Annotations provide readOnlyHint=false, indicating this is a mutation tool (generation creates new data). The description adds the 'secure' qualifier, which suggests cryptographic quality beyond basic randomness, providing useful behavioral context not captured in annotations. However, it doesn't disclose rate limits, side effects, or authentication requirements that might be relevant for a token generation tool.

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

Conciseness5/5

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

The description is a single, efficient phrase with zero wasted words. It's appropriately sized for a simple generation tool and front-loads the essential information without unnecessary elaboration.

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

Completeness3/5

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

For a tool with 3 parameters, 100% schema coverage, and no output schema, the description provides adequate but minimal context. It states what the tool does but doesn't explain return values, error conditions, or how it differs from similar generation tools. The completeness is sufficient for basic understanding but lacks depth for optimal agent decision-making.

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

Parameters3/5

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

With 100% schema description coverage, all parameters are documented in the schema itself. The description doesn't add any parameter-specific information beyond what's already in the schema (length, charset options, customChars requirement). This meets the baseline expectation when schema coverage is complete.

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

Purpose4/5

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

The description 'Generate secure random tokens' clearly states the action (generate) and resource (secure random tokens), providing a specific purpose. However, it doesn't differentiate from sibling tools like 'generate_password' or 'generate_otp' that also generate tokens/credentials, leaving some ambiguity about when to choose this tool over those alternatives.

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 like 'generate_password' or 'generate_otp' in the sibling list. It lacks any context about appropriate use cases, prerequisites, or exclusions, leaving the agent with no usage direction beyond the basic purpose statement.

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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