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Read-onlyIdempotent

Exclusion rules for a LinkedIn account. Matching prospects are filtered out before they ever enter a campaign. Per LinkedIn account, not per campaign, so a rule here affects every campaign on that account. Read it when a search returns fewer leads than expected. Excluding one lead from one campaign instead is lead_update with isExcluded.

Input Schema

NameRequiredDescriptionDefault
pageNo1-indexed page number.
pageSizeNoRows per page.
linkedAccountIdNoLinkedIn account id, from `linkedin_account_list`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The annotations already establish that this is a safe, read-only, idempotent operation. Beyond that, the description adds meaningful behavior: rules are per LinkedIn account, affect every campaign on that account, and filter prospects before they enter campaigns.

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 front-loaded with the resource definition and then adds only the scope, diagnostic use, and alternative. There is no wasted text, and the per-account versus per-campaign distinction is stated efficiently.

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 read-only list with fully described parameters and clear annotations, the description is nearly complete. The main gap is that it does not state what happens when `linkedAccountId` is omitted, even though the schema marks it optional.

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 coverage is 100%, so the three parameters are already documented by the schema. The description reinforces the account-level scope but does not add format or behavior details beyond what `linkedAccountId`, `page`, and `pageSize` already provide.

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?

The description defines the resource as exclusion rules for a LinkedIn account and explains their effect: matching prospects are filtered before entering campaigns. It distinguishes this list from the per-campaign exclusion alternative, though the retrieval verb itself is only implied by 'Read it' rather than stated directly.

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?

It gives an explicit diagnostic use case: read this when a search returns fewer leads than expected. It also names the alternative for a different need, `lead_update` with `isExcluded`, and clarifies the per-account scope that separates this tool from per-campaign exclusion.

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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