verity_sentiment
Sentiment analysis with score and keywords. 30 sats per call.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to analyze |
Sentiment analysis with score and keywords. 30 sats per call.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to analyze |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses a cost of 30 sats per call and mentions output components (score and keywords), adding some transparency. However, it does not describe score range, response format, or potential side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences convey purpose, output elements, and cost without waste. The description is front-loaded and easily scannable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With a single parameter and no output schema, the description mentions outputs but lacks details on score interpretation or response structure. It is minimally complete for a simple tool, but could be more informative.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema covers the only parameter 'text' with a description, giving 100% schema description coverage. The description adds no extra meaning beyond the schema, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool performs sentiment analysis and returns a score and keywords. This differentiates it from siblings like verity_translate or verity_search, though it lacks an explicit verb phrase. The intent is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use or alternative guidance is provided. The purpose itself implies usage for sentiment analysis tasks, but there are no exclusions or named alternatives. This is implied usage rather than clear context.
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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