Skip to main content
Glama

churn_risk

Read-only

Scans customer feedback (satisfaction ratings + written feedback), and both job-level and customer-level notes for churn risk signals. Returns each flagged customer with the exact sentence that flagged them and the full context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_ratingNo
churn_keywordsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description usefully adds the output shape (flagged customer plus the exact triggering sentence and full context) where no output schema exists, but it says nothing about defaults, thresholds, or how keyword scanning behaves when churn_keywords is omitted.

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?

Two front-loaded sentences with the data sources stated before the return shape, and no filler. The phrase 'both job-level and customer-level' is slightly wordy but carries real information.

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 two-parameter read tool with no output schema, the description covers the scan scope and return shape but omits parameter behavior entirely and offers no differentiation from the similar churn-feedback sibling, leaving real gaps an agent must guess at.

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% and the description never mentions min_rating or churn_keywords. It does not explain the rating threshold meaning or whether churn_keywords is a comma-separated string or a single term, so it fails to compensate for the undocumented schema.

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 (scans) and concrete resources (satisfaction ratings, written feedback, job-level and customer-level notes) and adds the processed result (flagged customers with the triggering sentence). It is clearly distinguishable from generic search tools, though it never names the near-identical sibling customer_churn_feedback_flags to disambiguate.

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 guidance on when to use this versus alternatives, despite a sibling (customer_churn_feedback_flags) that appears to cover overlapping ground. No prerequisites, no conditions, no exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.