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LinkedIn accounts working a campaign

list_campaign_linkedin_accounts

Accounts working this campaign with per-account counters (pending, invites sent, connected, messaged, replied). Read-only.

Input Schema

NameRequiredDescriptionDefault
idYesCampaign id (UUID) from list_campaigns

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description must carry behavioral disclosure. It usefully declares 'Read-only' and lists the counter fields returned, but says nothing about pagination, ordering, or whether inactive/disconnected accounts are included.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with no waste, and the payoff (per-account counters) is front-loaded. Minor loss because the parenthetical list is dense but still readable.

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?

For a simple one-parameter read tool with no output schema, the description covers purpose, return contents (counters), and safety (read-only). Only query behavior such as pagination or scope exclusions is unstated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the single id parameter is documented in the schema as a campaign UUID from list_campaigns. The description adds no syntax or format detail beyond that, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Accounts working this campaign') and even enumerates the per-account counters returned, so the agent knows exactly what it gets. It does not explicitly distinguish itself from sibling list_linkedin_accounts or get_campaign_linkedin_stats, which keeps it from a 5.

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

Usage Guidelines2/5

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

There is no when-to-use, when-not-to-use, or named alternative. With many sibling tools (list_linkedin_accounts, get_campaign_linkedin_stats, list_campaign_linkedin_outreach), the description leaves selection to inference from the name alone.

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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