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text_acrostic

Detect hidden acrostic messages in text by analyzing first or last letters, words, or nth characters across lines.

Instructions

Detect first-letter, first-word, last-letter, last-word, or nth-character patterns (acrostic messages) hidden across lines of text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoPosition for nth_char mode
modeNoDetection mode (default: first_letter)
textYesText to analyze
Behavior3/5

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

No annotations exist, so description carries full burden. It lists detectable patterns but lacks details on behavior like read-only nature, error handling, or output format. Basic transparency is present.

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?

Single sentence that is well-structured and to the point. No wasted words.

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?

With 3 parameters, no output schema, and no annotations, the description adequately explains input and purpose. Lacks explicit return value description, but for a detection tool the output is implied.

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

Parameters4/5

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

Schema description coverage is 100%, and the description reinforces the purpose of each parameter, especially linking 'n' to nth_char mode. Adds meaning beyond schema by explaining modes in context.

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?

Description clearly states the tool detects acrostic patterns (first-letter, first-word, etc.) across lines of text. This distinguishes it from sibling tools like text_detect or text_homoglyph which handle different text steganography techniques.

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?

Description implies usage for acrostic detection but does not explicitly state when to use it vs. alternative tools. No exclusion or comparison with siblings is provided.

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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