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analyze_tone

Analyze the tone of any text to identify emotional sentiment and communication style. Get clear insights for better understanding.

Instructions

analyze tone — Other Utilities tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
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, but it only mentions the cost ($0.001 USDC via x402). It does not state whether the tool is read-only, whether it sends data externally, what side effects occur, or what latency/limits exist. The cost disclosure is a small positive but not enough to understand the tool's behavior.

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

Conciseness2/5

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

The description is very short and front-loaded, but the first phrase is just a restatement of the name. The cost sentence is the only concrete information. This is under-specification rather than effective conciseness, as there is no structure or substance to guide the agent.

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

Completeness1/5

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

Given the lack of annotations, no output schema, and the highly simplistic description, the tool is essentially undefined. The agent cannot infer return values, error cases, or required inputs. The tool complexity is unknown but likely non-trivial, and this description is far from complete.

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

Parameters1/5

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

The input schema is a generic wrapper with a single 'params' object and no specific fields. The description adds no parameter meaning, so the agent has no idea what arguments to pass. Even though schema coverage is marked at 100%, that coverage is only for the generic container, not for actual parameters.

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

Purpose1/5

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

The description only repeats the tool name ('analyze tone') without explaining what analyzing tone means, what type of input it accepts, or what kind of result it produces. It is a tautology that does not distinguish this tool from many similar text-analysis siblings like sentiment or classify.

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

Usage Guidelines1/5

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

There is no guidance about when to use this tool or when to choose an alternative. Among siblings there are deep-analysis tools (sentiment, classify, summarize) but the description offers no comparison or exclusion criteria, leaving the agent to guess.

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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