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set_watched_groups

Idempotent

Replace a telegram_mtproto userbot's watched-groups list — the chats it monitors. Requires the manage_settings permission. SET semantics: send the COMPLETE desired list every time (call list_watched_groups first and include existing entries you want to keep — omitting one removes it). Each entry needs a chatId (e.g. "-100…", for chats the account has joined) or a public username/t.me link; mode "joined" (default) processes a chat the account is in, "public_peek" (max 10, needs a username) polls a public chat without joining. The running userbot picks the change up within a few minutes, no restart. An empty list means "watch every joined chat" — NOT "watch nothing".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
botIdNoThe telegram_mtproto bot. Omit when the application has exactly one userbot.
groupsYesThe complete replacement list. Empty array = watch every joined chat.
applicationIdNoApplication (workspace) id. Optional: an application-scoped key (app_...) defaults to its own application, but a personal key (usr_...) has no default and omitting it fails with MCP_APPLICATION_REQUIRED. Call list_applications to get the id.

TDQS

A4.9/5.0
Behavior5/5

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

The description discloses critical behavioral traits beyond annotations: full replacement semantics (omitting entries removes them), the permission requirement, the propagation delay (no restart needed), and the meaning of an empty list. These details enrich the agent's understanding beyond the idempotent and non-destructive hints, and do not contradict the annotations.

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 dense but well-organized, front-loading the core purpose and then layering essential caveats (permission, SET semantics, entry requirements, update timing, empty-list warning). Every sentence adds unique value without redundancy, making it concise for the complexity involved.

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

Completeness5/5

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

The tool has no output schema and the parameter schema is fully detailed, so the description appropriately focuses on operational context. It covers permission, replacement semantics, entry constraints, the public_peek max, propagation delay, and empty-list behavior—making the tool fully understandable and safe to invoke.

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?

Although the input schema covers all parameters (100% coverage), the description adds higher-level meaning: the complete-replacement list semantics, the need to call list_watched_groups first, and the behavioral constraints of public_peek. It does not duplicate field-level details but reinforces the overall intent, going beyond the baseline schema coverage.

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 a specific verb ('Replace') and resource ('a telegram_mtproto userbot's watched-groups list'), clearly stating the tool's function and distinguishing it from the sibling list_watched_groups. It also explains what the list represents ('the chats it monitors') and mentions the required permission, leaving no ambiguity about the tool's purpose.

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

Usage Guidelines5/5

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

The description explicitly instructs to call list_watched_groups first and include existing entries to keep, providing direct usage guidance and setting clear SET semantics. It also clarifies the empty-list edge case ('NOT 'watch nothing'') and the public_peek limit, preventing common misuse. This effectively guides the agent on when and how to use the tool relative to its sibling.

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
Disambiguation4/5

Each get_/list_ tool targets a distinct resource and the descriptions carefully separate similar pairs like get_application_context vs get_workspace_summary and get_broadcast_details vs get_broadcast_analytics. The main ambiguity is apply_actions vs validate_actions, since one runs the other's validation, but the descriptions make that relationship explicit.

Naming Consistency4/5

Names consistently follow verb_object snake_case and use familiar verbs like create, get, list, and update. Minor deviations such as read_messages instead of list_messages, apply_actions/validate_actions with plural nouns, and run_flow_autotest are still predictable and readable.

Tool Count2/5

33 tools exceeds the 25-tool threshold and makes the surface feel heavy, even though the domain is broad. Many of the read-only getters are individually useful but could be consolidated, such as merging module catalog/details or workspace/application context.

Completeness4/5

Core workflows are covered: application lifecycle, flow editing through apply_actions, deployment, contacts, broadcasts, modules, and message/event reads. Minor gaps exist, such as no dedicated delete for contacts, applications, or broadcasts, and no rollback for deployments, but agents can work around or avoid these.