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Glama

list_countries

Países do catálogo com contagem playable e URL da bandeira (kind=radio conta estações).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo`tv` (padrão) conta canais de TV; `radio` conta estações do Radio Browser; `all` junta os dois.tv

Schema Changelog

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

  1. Changed2 schema fields changed
    • addedInput schema / properties / kind / default
      Added value: +"tv"
    • addedInput schema / properties / kind / description
      Added value: +"`tv` (padrão) conta canais de TV; `radio` conta estações do Radio Browser; `all` junta os dois."
  2. First observed

TDQS

A3.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It adds the nuance that kind=radio counts stations, but does not state that this is a read-only operation, mention return format details, pagination, or any constraints. This is a significant gap for a tool with no annotation coverage.

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?

One concise sentence with no filler, front-loading the core purpose and then the key parameter nuance. Efficient and clear.

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?

For a simple list tool with one optional parameter, the description covers the resource, output fields, and the parameter's effect. It lacks an explicit read-only statement and return structure, but these are minor given the simplicity and clear schema coverage.

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

Parameters3/5

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

Schema coverage is 100% (the kind parameter is fully documented with its enum and default). The description adds only marginal extra meaning by restating the kind effect, which is already in the schema. Baseline 3 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 lists countries with playable count and flag URL, using a specific verb ('Países do catálogo') and resource. It distinguishes from sibling list tools like list_cities and list_languages by the resource type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

The description implies usage by its resource ('countries') and explains the effect of the kind parameter, but does not explicitly contrast with sibling tools. Context is clear, though no exclusions are given.

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

C2.9/5.0
Disambiguation5/5

Each tool addresses a distinct resource/action: favorites vs. history vs. watch recording are clearly separate, and the NSFW consent/pass tools are unambiguous. Even closely related tools like 'get_channel', 'get_channel_guide', and 'legacy_stream' serve different purposes. No two tools appear to do the same thing.

Naming Consistency4/5

Most tools follow a verb_noun pattern (get_, list_, create_, add_, remove_, etc.) with clear conventions. A few exceptions exist like 'billing', 'geo', 'health', and 'me', which are nouns and break the pattern slightly, but the overall style is predictable and readable.

Tool Count2/5

With 47 tools, the server is far beyond the typical well-scoped range (3-15). While the API covers a broad domain (auth, catalog, chat, comments, billing, NSFW), this many tools would be better split into smaller, focused servers. The count feels bloated and could overwhelm an agent.

Completeness4/5

The tool surface is quite comprehensive for a streaming service: it includes auth, user preferences, favorites, history, catalog search, channel details, comments, chat, NSFW consent/passes, billing, and reporting. Minor gaps exist (e.g., no update/delete for categories/groups, no comment editing), but these are not critical dead ends.

Resources