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BACH-AI-Tools

LinkedIn Data API MCP Server

get_profile_reactions

Retrieve posts that a specific LinkedIn profile has reacted to. Provide a username to start; use pagination start index and token for additional results.

Instructions

Find out what posts a profile reacted to

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesExample value: adamselipsky
startNofor pagination, increase +100 to parse next result until you see less than 100 results. it could be one of these; 0, 100, 200, 300, 400, etc.
paginationTokenNoIt is required when fetching the next results page. The token from the previous call must be used.
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It only says what the tool does, not how it behaves—no mention of pagination behavior, ordering, rate limits, or reaction details. This is insufficient.

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?

Single sentence, no redundant words, front-loaded. However, it border on under-specification, but conciseness for its length is good.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the need for pagination and no output schema, the description fails to provide enough context. It doesn't describe the return format, errors, or intended use patterns, making it incomplete.

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 baseline is 3. The description adds no value beyond the schema; it doesn't explain the relationship between 'start' and 'paginationToken' or how to paginate correctly.

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 clearly states the tool retrieves posts a profile reacted to, using a specific verb-resource combination. It distinguishes from siblings like get_post_reactions, but the verb 'find out' is slightly vague.

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?

No guidance on when to use this tool versus alternatives like get_post_reactions. Missing context on how pagination parameters interplay. No explicit when-not scenarios.

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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