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Glama

Get Entertainment Stats

get_entertainment_stats

Retrieve macro statistics across your books, movies, podcasts, quotes, sensory vault, and restaurants to view counts and trends at a glance.

Instructions

Get macro statistics across books, movies, podcasts, quotes, sensory vault, and restaurants.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. 'Get ... statistics' implies a non-mutating read, and the enumeration of covered domains is useful context, but there is no disclosure of scope limits, refresh behavior, permissions, or whether the aggregation is global or user-scoped.

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

Conciseness5/5

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

A single front-loaded sentence with no filler or redundant restatement of the title. Every clause (verb, resource, domain list) earns its place.

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?

A zero-param read tool with an output schema needs little prose, and the description does state the full breadth of aggregated domains. The only gap is the absence of any guidance on when to prefer this over the per-domain sibling tools.

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 4 baseline applies. The schema is empty and fully consistent with the description's no-argument framing.

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 ('Get') and resource ('macro statistics') and enumerates the six domains it aggregates, which separates it from the per-domain search/log siblings. It doesn't explicitly name an alternative such as get_user_taste_profile, so it falls short of full sibling differentiation.

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 only implied: the word 'macro' plus the multi-domain scope signals a high-level summary view rather than per-item lookups. No when-to-use condition or named alternative is given, so the agent must infer the routing decision.

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