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interpret_text

Analyze any text or phenomenon through 8 integrated hermeneutic lenses to decode meaning and understand multiple perspectives.

Instructions

Analyze any text, statement, system, behavior, artifact, or phenomenon through 8 integrated hermeneutic lenses: literal, historical, structural, psychological, cultural, dialectical, meta-interpretive, and transformative. Use when interpreting, analyzing meaning, understanding perspectives, decoding messages, or performing deep reading.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text, statement, or phenomenon to interpret
lensYesWhich hermeneutic lens to apply, or all for full multi-lens analysis
contextNoOptional additional context about the text origin, author, or situation
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It explains the 8 lenses but does not describe the output format, depth, or process, leaving gaps about what the agent can expect.

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 two sentences with efficient front-loading of the core purpose and usage guidance, every word earning its place.

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?

The tool has no output schema and 3 parameters. The description fails to explain what the output looks like or the format of the analysis, which is critical for a complex analytical tool.

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 100%, so the description adds limited value beyond listing the lens names. It does not elaborate on parameter semantics like the 'lens' enum values or the optional 'context' usage.

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 analyzes text using 8 specific hermeneutic lenses, distinguishing it from sibling tools like build_scenario or rune_reading through its unique interpretative focus.

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

Usage Guidelines4/5

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

The description provides clear usage scenarios such as interpreting, analyzing meaning, and decoding messages, but does not explicitly mention when not to use it or contrast with siblings.

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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