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Funkel AI

list_insights

Read-onlyIdempotent

List account-scoped and selected-product-scoped open insights. Each item labels its actual scope; account insights are not product-only. Exact total and bounded pages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (default 20; max 50)
offsetNoPage offset (default 0)

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 closed-world behavior, so safety is covered. The description adds useful behavioral context — that each item self-labels its scope and that pagination yields an exact total with bounded pages — but says nothing about ordering, filtering, or what an 'open' insight state implies.

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?

Three short sentences, front-loaded with the resource and scope, no filler. The clause 'account insights are not product-only' is a slightly redundant restatement of the scope-labeling sentence and costs it the top mark.

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 two-parameter list tool with no output schema, the description covers scope, labeling, and paging semantics, which is adequate. It still omits what an 'insight' actually is, whether results are ordered, and what 'open' means, leaving real gaps for an agent deciding whether to call it.

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 100% with only limit and offset, both fully documented with defaults and maxes in the schema. The description adds no parameter-level meaning, so the baseline 3 applies.

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 ('insights') plus the scope of returned items (account-scoped and selected-product-scoped open insights), which separates it from the sibling get_insight. However, 'open insights' is domain jargon and it never explicitly contrasts itself with get_insight, so sibling differentiation rests on inference.

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?

There is no when-to-use guidance, no statement of prerequisites or filters, and no mention of the singular get_insight sibling that an agent would otherwise have to guess between. Usage context is only implied by the word 'List'.

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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