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LinkedIn MCP Server (Salesbot)

search_linkedin_people

Search people on LinkedIn by title and location. Returns raw LinkedIn search results; it does not save them as Salesbot contacts. For each profile you want to keep or add to a campaign, call upsert_linkedin_contact with its profile URL to obtain a contact_id. Pass either location (human name like 'Praha', 'Berlin', 'Czechia') or locationId (raw LinkedIn geo ID).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (1-50, default 10)
titleYesJob title to search for (e.g. 'CEO', 'Marketing Manager')
networkNoNetwork filter: 'S' = 2nd degree, 'O' = out of network. Optional.
locationNoHuman-readable location name (e.g. 'Praha', 'Brno', 'Berlin'). Resolved to LinkedIn geo ID automatically. Use this OR locationId.
locationIdNoRaw LinkedIn location ID (e.g. '102221843' for Praha). Use this only if you already know the ID.

TDQS

A4.4/5.0
Behavior4/5

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

The description goes beyond annotations by revealing that results are raw, unsaved, and require a separate upsert call to persist. It also warns about the two location inputs. It does not discuss rate limits or what 'raw' means in terms of returned fields, which would add further transparency.

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?

Three focused sentences with no filler: purpose first, persistence behavior and successor tool second, and the key location parameter nuance last. Every sentence contributes information an agent needs before calling.

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 5-parameter tool with no output schema, the description covers the core use case, the persistence boundary, the follow-up tool, and the ambiguous location parameter. The main gap is return-shape clarity (what fields each raw result contains), though the upsert reference implies profile URLs are available.

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

Parameters4/5

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

Schema coverage is 100% and already documents each parameter. The description adds meaningful cross-parameter semantics by stating to pass either a human-readable location or a raw locationId, and it gives concrete examples matching the schema. It adds no extra semantics for limit or network, so it doesn't earn a 5.

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?

The description opens with a specific verb and resource: 'Search people on LinkedIn by title and location.' It also distinguishes itself from downstream persistence by noting it 'does not save them as Salesbot contacts,' and the tool name plus sibling context make clear it is the LinkedIn people search, not navigator or web search.

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

Usage Guidelines4/5

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

It explicitly routes follow-up behavior: for profiles to keep or add to a campaign, call upsert_linkedin_contact with the profile URL. It also clarifies the location/locationId either-or. It does not explicitly call out when another search sibling (e.g., search_linkedin_navigator) should be preferred, so it stops short of exhaustive alternative 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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap among search tools (search_job_postings, search_google_xray, search_linkedin_people, search_web) and messaging tools (send_connection_request, send_linkedin_message, reply_to_chat). However, detailed descriptions clarify the differences.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern (e.g., add_contacts_to_campaign, list_campaigns). No mixing of conventions.

Tool Count3/5

48 tools is high but justifiable given the broad domain (LinkedIn outreach, CRM, campaigns, job postings, etc.). However, some tools could be consolidated (e.g., multiple search tools).

Completeness5/5

The tool set covers the entire workflow: searching, connecting, messaging, campaign management, CRM operations (fields, stages, tasks, notes), job postings, and posting. No obvious gaps.