Preview disconnecting a LinkedIn account (dry-run)
preview_disconnect_linkedin_accountDry-run of removing a LinkedIn account, showing the capacity that would be lost. ALWAYS call this first.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
preview_disconnect_linkedin_accountDry-run of removing a LinkedIn account, showing the capacity that would be lost. ALWAYS call this first.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden and does well: 'Dry-run' discloses that no actual disconnection occurs, and 'showing the capacity that would be lost' describes what the output conveys. It could add failure-mode or prerequisite context, but the core non-destructive trait is clearly disclosed.
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?
Two short sentences, zero filler. The core purpose and the critical call-order directive are both front-loaded in the first sentence. Every word earns its place.
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 simple one-parameter preview tool, the description covers the essential semantics and sequencing. The main gap is the undocumented id parameter, and since there is no output schema, the 'capacity that would be lost' phrasing is the only return-value guidance — adequate but not detailed.
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?
Schema description coverage is 0% and the description never mentions the id parameter, so nothing explains what value to pass (presumably a LinkedIn account ID from list_linkedin_accounts). With coverage this low, the description needed to compensate and did not.
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?
States a specific verb and resource: 'Dry-run of removing a LinkedIn account'. The dry-run phrasing clearly differentiates it from the sibling disconnect_linkedin_account, which performs the actual removal, and the title reinforces this with '(dry-run)'.
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?
Provides an explicit sequencing directive: 'ALWAYS call this first.' This tells the agent when to invoke it, implying it precedes disconnect_linkedin_account. However, it does not name the alternative tool explicitly or state when not to use it, so it falls just short of full guidance.
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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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.