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flin-agency

flin-linkedin-posts-mcp

by flin-agency

get_member_post_analytics

Fetch analytics metrics for your own LinkedIn post to measure engagement, impressions, and clicks using OAuth authentication.

Instructions

Fetch LinkedIn analytics metrics for a single member-owned post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_urnNo
post_urlNo
metric_typesNo
Behavior1/5

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

With no annotations, the description must carry the full burden for behavioral traits. It only states 'Fetch', implying read-only, but lacks details on required permissions, error handling, rate limits, or what happens with invalid inputs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is concise but lacks necessary detail. It could be slightly longer to include parameter guidance without being verbose.

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

Completeness1/5

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

Given the tool has 3 parameters, no output schema, and no annotations, the description is highly incomplete. It fails to provide essential context for correct invocation, such as parameter constraints or return format.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain any parameter's purpose, format, or relationships (e.g., whether post_urn and post_url are alternatives or both needed). The agent cannot infer how to correctly set metric_types.

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 clearly specifies the verb 'Fetch' and the resource 'LinkedIn analytics metrics for a single member-owned post', distinguishing it from siblings like 'list_member_posts' and 'get_post_social_metadata'.

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 is provided on when to use this tool versus alternatives. There is no mention of prerequisites or context for selection.

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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