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Glama

Limzo Telegram Group Stats

Get public stats for one Telegram group

get_group_stats
Read-only

Call this when the user asks about the activity, health, leaderboard, mood, or trends of a specific Telegram group tracked by Limzo. slug is the last part of the group's public page URL, limzo.com/s/ (e.g. "hipo"). Returns the curated limzo.public_stats/v1 JSON: messages, replies, active members, daily series, top members, mood, reactions, language mix, the Limzo Levels ladder (lifetime XP + badge tiers), and weekly-league standings when the group has the league enabled. Optional range: 7d (default), 30d, all — the wider ranges only serve real data for groups on a paid plan and otherwise silently fall back to 7d, so check range.key in the result. Never includes verbatim member messages. For a private group (one with no public t.me handle) the member identities, the group description and member_count are withheld too: aggregates plus an anonymised leaderboard are all it returns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe group's public slug — the last part of its limzo.com/s/<slug> URL.
rangeNoStats window. Defaults to 7d. 30d/all require the group's paid plan; free groups silently fall back to 7d.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
docsNoHuman-readable API documentation.
groupYes
rangeYesThe range actually served — compare `key` with what you requested to detect the plan fallback.
statsYes
schemaYes
openapiNoMachine-readable OpenAPI document for the REST API.
generated_atYes

TDQS

A4.6/5.0
Behavior5/5

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

Beyond readOnlyHint=true, the description discloses important behavioral details: 30d/all silently fall back to 7d for free groups, range.key should be checked, verbatim member messages are never included, and private groups have member identities, description, and member_count withheld. This gives the agent realistic expectations about output and limitations.

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?

Every sentence carries selection, parameter, behavior, or privacy information. The trigger is front-loaded, followed by slug, return contents, range caveat, and privacy constraints. The output enumeration is dense but useful and each clause 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?

The definition covers selection, parameter semantics, return shape, paid-plan fallback, and privacy handling, which is more than enough for reliable invocation. It does not mention error behavior for invalid or nonexistent slugs, but the detailed schema and output description make that a minor omission.

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?

Schema coverage is 100%, so the schema already documents slug and range. The description adds value by explaining the slug URL pattern and, more importantly, by telling the agent to verify range.key because wider ranges may silently fall back. That operational guidance goes beyond the schema.

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 opens with 'Call this when the user asks about the activity, health, leaderboard, mood, or trends of a specific Telegram group tracked by Limzo', naming the exact resource and scope. It is clearly distinguishable from get_global_stats and list_groups because it emphasizes a single Telegram group and its stats.

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 gives explicit trigger conditions ('Call this when...') and a precise scope, so an agent knows when this tool is appropriate. It does not explicitly name the sibling alternatives or state when to choose them, but the 'specific Telegram group' scoping is strong enough to avoid obvious confusion.

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

A4.7/5.0
Disambiguation5/5

Each tool targets a distinct concern: get_global_stats for network-wide numbers, get_group_stats for a specific group, and list_groups for discovery and lookup. There is no functional overlap or ambiguity.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: 'get_global_stats', 'get_group_stats', 'list_groups'. The naming is predictable and clear.

Tool Count4/5

With only 3 tools, the server is concise and focused. While minimal, it covers the core operations for a stats-viewing server without feeling incomplete. The count is appropriate for its narrow scope.

Completeness5/5

The tools fully cover the domain of querying Telegram group stats: global overview, per-group details, and group discovery. There are no obvious gaps; the surface supports typical user workflows end-to-end.

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