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Analyze Corpus

analyze_corpus

Analyzes a corpus with six linguistic analysers to extract voice-defining patterns including phrases, markers, punctuation, vocabulary, vulnerability, and specificity.

Instructions

Perform linguistic analysis on collected corpus. Runs the six analysers that feed the voice skill: phrases, voice markers, punctuation, vocabulary tiers, vulnerability patterns, and specificity patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
corpus_nameYesName of corpus to analyze
corpus_dirYesDirectory where corpus is stored
Behavior3/5

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

With no annotations, the description is the sole source. It discloses the six analysers but does not mention whether the tool modifies the corpus, requires special permissions, or produces output side effects. This is a moderate gap.

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?

Two sentences, front-loaded with action, no unnecessary words. Every sentence adds value.

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?

The description covers the tool's purpose and lists the analysers, which is sufficient given the simple input schema and no nested objects. However, lacking an output schema, it could mention whether results are stored or returned.

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% and descriptions are clear. The tool description does not add extra meaning beyond the schema for the two parameters (corpus_name and corpus_dir). Baseline of 3 is appropriate.

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 'Perform linguistic analysis on collected corpus' and lists the six specific analysers (phrases, voice markers, etc.), which distinguishes it from sibling tools like collect_corpus and generate_voice_skill.

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 implies use after corpus collection ('on collected corpus'), and the sibling context clarifies the analysis role. However, it does not explicitly state when not to use this tool or provide alternative guidance.

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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