Skip to main content
Glama

View product account

get_enrollment
Read-only

The product run summary for this growth engine: product_url, tier, trial_ends_at, timezone, whether autonomous work is active, and delivery settings. Credits once metering is live. Read-only, free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
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 'Read-only' in the description is largely redundant. It does add cost context ('free', credits only once metering is live), which is behavior beyond the annotations, but the metering sentence is vague and no freshness or failure behavior is described.

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

Conciseness3/5

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

The field enumeration is front-loaded and compact, but the trailing fragment 'Credits once metering is live' is cryptic and does not clearly earn its place — it is unclear whether it warns about cost, latency, or unavailable data.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of telling the agent what comes back, and it does so by listing the six return fields. For a parameterless read tool this is close to complete, though it omits return format and any indication of when values may be null (e.g., trial_ends_at).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter tool is 4. Schema coverage is 100% and empty, so no gap exists.

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 names the resource concretely — 'the product run summary for this growth engine' — and enumerates the returned fields (product_url, tier, trial_ends_at, timezone, autonomy status, delivery settings), which distinguishes it from siblings like get_scoreboard or get_business_context. The verb is only implied ('get'), so it is clear but not maximally sharp.

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 statement of when to call this versus alternatives such as whoami, get_business_context, or get_setup_snippet. The agent must infer usage from the field list alone; no exclusions or prerequisites are given.

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.

Resources