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Salesbot - B2B outreach LinkedIn MCP Server with CRM and email

list_companies

Read-onlyIdempotent

Use for companies imported from LinkedIn into a company list. For company accounts already in the CRM use list_crm_companies. List stored companies from one Salesbot company list. Returns prospect_company_id, LinkedIn company ID/URL, website, industry, location, size, saved web research and crm_company_id. Use these exact IDs; do not guess them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoDefault 50, maximum 200.
queryNoOptional company-name filter.
offsetNoPagination offset, default 0.
company_list_idYesUUID from list_company_lists.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that by enumerating the returned fields (prospect_company_id, LinkedIn IDs, crm_company_id, research, etc.) and stressing exact-ID usage, which is meaningful for a tool with no output schema.

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?

Front-loads the usage condition and the sibling contrast before the return-field list. Dense but every sentence carries information; the return-field enumeration could be slightly tighter.

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?

With no output schema, the description compensates by listing the returned fields, and the usage split from list_crm_companies is explicit. Nothing an agent needs to call it correctly is missing.

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%, so limit, query, offset and company_list_id are already documented, and the description largely repeats the list_id provenance ('UUID from list_company_lists'). It adds only the weak emphasis on not guessing IDs, so baseline 3 is appropriate.

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?

States a specific verb (list) and resource (stored companies from one Salesbot company list), and explicitly contrasts with list_crm_companies. An agent can distinguish this from the CRM-company sibling without opening the schema.

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?

Gives the selection condition directly: use for companies imported from LinkedIn into a company list; for CRM accounts use list_crm_companies. It also warns to use exact IDs rather than guess them, which is actionable routing 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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