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Bulk Get Companies

linkedin_bulk_get_companies
Read-onlyIdempotent

Fetch slim LinkedIn company profiles in bulk (up to 10). Returns per-item results with error tracking - never stops on first error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifiersYesArray of LinkedIn company identifiers (URLs, slugs, or numeric IDs). 1–10 items.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

With readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false already declared, the description still adds genuinely useful behavior: capped batch size, per-item result objects, and the fact that one failure does not abort the remaining items. That partial-failure contract is exactly the kind of detail annotations cannot express.

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 compact sentences with no filler, and the batching scope is front-loaded ahead of the error-handling note. 'Slim' is the only mildly opaque term, but it usefully signals that profiles are trimmed rather than complete.

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 single-parameter, read-only, no-output-schema tool whose safety profile is fully covered by annotations, the description supplies the two things the schema cannot: batch cap and partial-failure return semantics. It does not describe what fields a 'slim' company profile contains, which is the only real gap.

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% and the single 'identifiers' parameter already documents accepted forms (URLs, slugs, numeric IDs) and the 1-10 range, so the schema carries the load. The description's 'up to 10' merely duplicates the schema's maxItems, adding no new parameter meaning — baseline 3 is appropriate.

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 ('Fetch ... LinkedIn company profiles') plus the batching scope ('in bulk, up to 10'), which separates it from the single-record linkedin_get_company and from the person-oriented linkedin_bulk_get_profiles. It stops short of naming those siblings explicitly, so the distinction must be inferred from the word 'company'.

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 statement of when to choose this over linkedin_get_company for a single lookup, and no prerequisites or exclusions. 'In bulk' restates the purpose rather than providing routing guidance, so an agent gets no help deciding between the bulk and single variants.

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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