Disconnect Telegram bot
disconnect_telegram_botDetach the bot from this agent. Bot keeps existing in Telegram but stops responding.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
disconnect_telegram_botDetach the bot from this agent. Bot keeps existing in Telegram but stops responding.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry behavioral disclosure. It does add a useful detail: 'Bot keeps existing in Telegram but stops responding', which clarifies that the bot is not deleted. However, it omits other traits that would be valuable for a mutation tool, such as permission requirements, reversibility, or impact on other agents. The disclosure is minimal but non-trivial.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences, front-loaded with the action ('Detach the bot from this agent') followed by the key behavioral note. Every word earns its place; nothing is redundant or extraneous.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one required parameter, the description is incomplete because it does not explain what 'id' refers to, which is essential for correct invocation. The effect is described, but the missing parameter semantics leaves the agent unable to confidently call the tool. The lack of an output schema is not critical here, but the parameter gap is.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single required 'id' parameter with 0% coverage (no description). The tool description does not mention 'id' at all, so the agent has no clue what the id represents (e.g., bot id, chat id, integration id). This is a critical gap given the facilitator's expectation that the description compensates when schema coverage is low.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb 'Detach' and the resource 'the bot from this agent', and adds the effect (stops responding). It clearly implies the inverse of connecting a Telegram bot, but does not explicitly name or contrast with sibling tools like connect_telegram_bot. This is clear but just short of full sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage is implied: use this when you want to disconnect a Telegram bot from the agent. However, there is no explicit guidance on when not to use it, nor any mention of alternative tools (e.g., disconnect_google_meet, disconnect_linkedin_account). The context is inferred but not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Despite consistently detailed descriptions, several tool pairs have unclear boundaries: `get_subscription_limits` and `get_agent_plan_limits` describe essentially the same agent-slot check, `crm_get_conversation` and `crm_communication_thread` both claim to return the full message thread, and `get_credit_usage_by_agent` vs `get_credit_usage_for_agent` differ only by preposition. At 149 tools, an agent will regularly misselect between these near-duplicates.
The dominant pattern is verb_noun with domain prefixes (`crm_*`, `sdr_*`) and a consistent `preview_*` family that maps cleanly to destructive/expensive actions. Deviations are minor but real: CRM deletes use the inverted `delete_crm_*` form while other CRM ops use `crm_*`, and credit-usage tools mix `by_agent`/`for_agent` prepositions.
149 tools is nearly three times the 50+ threshold the rubric treats as extreme, even though the platform genuinely spans agents, campaigns, audiences, CRM, SDR, billing, and connections. Many could be consolidated without losing capability — e.g. the 11 balance/credit-usage tools, the two LinkedIn-account listers, and the 15+ preview variants.
The surface is remarkably complete: full CRUD/lifecycle coverage for agents, campaigns, audiences, CRM leads/stages, and SDR searches, plus billing, analytics, and connection management. Destructive or costly operations all have preview/approval counterparts, so there are no dead ends. If anything the risk is over-coverage rather than gaps.