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pangram_check

Check if a text contains every letter of the alphabet, confirming it as a pangram.

Instructions

Check if text is a pangram (contains every letter of alphabet).

Parameters:
    text — Text to check for pangram property.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only states the purpose; it does not mention the return type (likely boolean), edge cases (e.g., empty text), or performance considerations. The output schema exists but is not referenced.

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 extremely concise: two sentences plus a parameter listing. No unnecessary words. The purpose is front-loaded, and the parameter is clearly separated.

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

Completeness4/5

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

Given the tool's simplicity (boolean check on text) and the presence of an output schema, the description is nearly complete. It could mention that the tool returns a boolean, but this is minor. The description works for an agent to understand the core functionality.

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?

Schema coverage is 0%, so the description must compensate. It lists the parameter 'text' with a brief description ('Text to check for pangram property'). This adds basic meaning but lacks details like expected encoding, case sensitivity, or maximum length.

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

Purpose5/5

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

The description clearly states the tool's purpose: checking if text is a pangram (contains every letter of the alphabet). The verb 'check' and the specific resource 'pangram' make it distinct from sibling tools like palindrome_check or anagram_check.

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

Usage Guidelines3/5

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

The description implies usage for pangram checking but provides no explicit guidance on when to use this tool versus alternatives (e.g., other text analysis tools). No 'when not to use' or alternative tools are mentioned.

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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