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Get an AI sentiment driver

get_ai_sentiment_driver
Read-only

Read one sentiment theme with quotes and suggested tasks; the summary and tasks are written on first read. themeKey comes from get_ai_sentiment_overview.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
engineNo
siteIdYes
enginesNo
themeKeyYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds genuinely non-obvious behavior: 'the summary and tasks are written on first read', a lazy-generation side effect that affects latency and idempotency. It does not mention permissions or rate limits, so it is strong but not exhaustive.

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 compact sentences with zero filler, front-loading the core read action and the returned artifacts before the side-effect and provenance notes. Every clause carries information an agent needs.

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

Completeness3/5

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

There is no output schema, and the description usefully sketches the return payload and the write-on-first-read behavior. However, for a 7-parameter tool with 0% schema coverage and no annotations covering inputs, the near-total silence on the date-range and engine filters leaves the definition only minimally complete.

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

Parameters2/5

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

Schema description coverage is 0% across 7 parameters, so the description carries the full burden. It explains only themeKey's provenance and says nothing about from/to date scoping, the engine/engines filter, or projectId/siteId, leaving six parameters with no semantic guidance anywhere.

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?

States a specific verb and resource ('Read one sentiment theme') and enumerates what it returns (quotes, suggested tasks). It explicitly distinguishes itself from the sibling get_ai_sentiment_overview by naming it as the source of themeKey, so an agent can route between the two without opening either schema.

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 mention that 'themeKey comes from get_ai_sentiment_overview' establishes the required call ordering and the prerequisite tool, which is real usage guidance. It stops short of stating when not to use this tool or what to do with the returned tasks, so it is clear context rather than a full when/when-not rule set.

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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