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FlowCastle

by ai.flowcastle

sync_dialog_contacts

Idempotent

Import a telegram_mtproto userbot's existing chats as contacts — DM partners, groups, and channels — so everything the account already talks to becomes a valid send_message target without waiting for each chat to message first. Requires the manage_broadcasts permission. Reads the account's dialog list live (the userbot must be connected; large accounts can take up to a minute) and creates missing contacts; existing contacts are untouched, so the call is idempotent. Pass kinds to narrow the import (e.g. ["group","channel"] to leave personal DMs out). Does NOT change the watched-groups list. botId may be omitted when the application has exactly one userbot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
botIdNoThe telegram_mtproto bot. Omit when the application has exactly one userbot.
kindsNoDialog kinds to import. Defaults to all three ("user" = the account's direct-message partners).
limitNoHow many most-recent dialogs to read from the account. Defaults to 1000.
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

A4.7/5.0
Behavior5/5

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

Beyond the annotations, the description discloses concrete behavioral details: reads the dialog list live, connection required, may take up to a minute, creates missing contacts, leaves existing untouched, is idempotent, and does not affect watched-groups. This goes well beyond the idempotentHint annotation and clarifies side effects and prerequisites.

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 moderately long but every sentence contributes new, useful information. It front-loads the core purpose, then packs permissions, performance, idempotency, side effects, and parameter guidance into a compact paragraph with no redundancy.

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?

Given 4 optional parameters, no output schema, and good annotations, the description covers all key aspects: purpose, permissions, performance expectations, idempotency, side effects, and parameter usage. It leaves nothing critical unexplained for an agent to select and invoke the tool correctly.

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 baseline is 3. The description adds practical examples (kinds filter example: ["group","channel"]) and contextual notes (botId omission condition, limit tied to account size). While the schema already documents each parameter, the description enriches understanding of how to use them.

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 and resource: "Import a telegram_mtproto userbot's existing chats as contacts" and clarifies the intended effect (making them valid send_message targets). It also distinguishes from sibling tools by explicitly stating it does NOT change the watched-groups list, which separates it from set_watched_groups.

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 clear usage context: use when you want all existing chats to be send_message targets without waiting for each chat to message first. It states prerequisites (manage_broadcasts permission) and explains optional behavior (kinds filter, botId omission). It does not explicitly name alternatives like create_contact, but this is adequately implied by the purpose.

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.

Resources