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Dalea AI

List insights

list_insights
Read-onlyIdempotent

List the brand's AI-generated insight tiles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds only that results are 'AI-generated insight tiles' (a hint at result content), with no disclosure of volume, ordering, or freshness. Baseline 3 is appropriate given annotation coverage.

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

Conciseness4/5

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

A single efficient sentence with the resource front-loaded; nothing is padded or buried. It is held back only by conveying so little in that one sentence.

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?

With no output schema and one simple parameter, the annotations carry most of the burden, but the description omits sibling differentiation and any detail on what an 'insight tile' contains or how many are returned. Adequate but with clear gaps for an agent choosing among many list_/get_* siblings.

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 description coverage is 0% for the single brandId parameter, and the description only implies brand scoping via the possessive 'the brand's'. It does not state whether brandId is required (the schema marks zero required params) or what happens when it is omitted, leaving the key ambiguity unresolved.

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 (List) and resource (brand's AI-generated insight tiles), which is clearer than the name alone. However, it does not distinguish this from siblings like generate_insights, get_homepage_insights, or list_contents, so an agent cannot route between them from the description.

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 description gives no indication of when to use this tool versus generate_insights or get_homepage_insights, nor any prerequisites. There are no exclusions or named alternatives; the agent must infer usage entirely from the name.

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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