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Glama

list_features

Returns the MatFlow feature catalog grouped by category with tier availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It clarifies that the output is grouped by category and includes tier availability, but does not disclose additional behavioral traits such as read-only nature, authentication needs, or data freshness. A more detailed description would improve transparency.

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?

The description is a single, concise sentence of 13 words that front-loads the main action and output structure. Every word serves a purpose, with no redundancy or filler.

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?

The description explains the return structure (grouped by category, tier availability) but could be more specific about what categories or tiers are included. With no output schema, the description provides adequate but not exhaustive completeness for a simple parameterless tool.

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 input schema has no parameters, so schema coverage is 100%. The description adds no parameter information because none exist. Given the baseline of 4 for zero parameters, this score is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns the MatFlow feature catalog grouped by category with tier availability. It uses a specific verb ('returns') and resource ('feature catalog'), and the grouping detail distinguishes it from sibling tools like list_competitors or get_faqs.

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?

No usage guidelines are provided. The description does not indicate when to use this tool versus alternatives, nor does it mention any preconditions or exclusions. There is no guidance on context or when not to use it.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: retrieving competitor details, listing competitors, FAQs, pricing, and features. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_competitor, list_features). No deviations.

Tool Count5/5

Five tools is an ideal size for a product information server. Each tool has a specific role, no redundancy, and the set feels well-scoped.

Completeness5/5

The tool set covers key information areas: competitor comparisons (list and detail), FAQs, pricing plans, and feature catalog. No obvious gaps for the domain.

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