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customer_churn_feedback_flags

Read-only

Finds customers whose job feedback contains churn-risk language or a low satisfaction rating, and returns the exact sentence that triggered each written-feedback flag (or the rating evidence when no sentence matches).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_ratingYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavioral detail beyond that: it returns the exact triggering sentence for written-feedback flags, and falls back to rating evidence when no sentence matches. It does not mention permissions or limits, keeping it from a 5.

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, front-loaded sentence that puts the core search behavior first and the return-value behavior second. Dense but no wasted clauses; only slightly long for the amount of content it carries.

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, the description usefully sketches return values (triggering sentence or rating evidence), which is a real contribution. However, the lone required parameter's semantics remain undefined, which is a meaningful gap for an agent trying to call this correctly.

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?

There is one required parameter (min_rating) with 0% schema description coverage, and the description never explains it. Worse, the phrase 'low satisfaction rating' implies a low-value threshold, which could conflict with or confuse the meaning of a 'min_rating' parameter, leaving its direction and semantics ambiguous.

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?

The description states a specific verb+resource: finding customers whose job feedback has churn-risk language or a low satisfaction rating, and it even specifies what is returned (the triggering sentence). It does not explicitly differentiate itself from the sibling 'churn_risk' or 'segment_customers', so it stops 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 Guidelines3/5

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

Usage is implied by the description (job-feedback churn signals) but there is no explicit when-to-use/when-not guidance, no prerequisites, and no routing to or away from the related 'churn_risk' sibling. An agent must infer the 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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