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Mark an AI sentiment task

set_ai_sentiment_task

Mark a suggested sentiment task as done or not done.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doneYes
siteIdYes
taskIdYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare it is a non-read-only, non-destructive mutation, and "done or not done" is consistent with destructiveHint=false (it is a reversible state set rather than a delete). The description adds that both directions are supported, but says nothing about side effects of marking a sentiment task done or any required permissions; with annotations covering the safety profile this is adequate but thin.

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?

A single short sentence that front-loads the action and its two target states. No filler or redundancy.

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?

For a simple 4-parameter state mutation with annotations and no output schema, the bare sentence is minimally viable, but it omits where the sentiment task comes from and whether an existing query tool must be called first to obtain taskId.

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 4 required parameters. The description only maps to the boolean "done"; projectId, siteId and taskId are undocumented in both places, leaving format/source of the IDs to inference.

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

Purpose4/5

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

States a specific verb ("Mark") and resource ("suggested sentiment task") plus the state it assigns (done / not done), so the action is unambiguous. It does not explicitly differentiate itself from the sibling read tools (get_ai_sentiment_benchmark/driver/overview), so it falls just short of a 5.

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

Usage Guidelines2/5

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

The word "suggested" hints the task originates from a suggestion list, but there is no statement of when to call this versus other task/status tools, no prerequisite (e.g. which tool produces the task), and no exclusion 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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