Skip to main content
Glama
southleft

LinkedIn Intelligence MCP Server

by southleft

get_cache_stats

Retrieve cache statistics and performance metrics including cache size, hit rate, and memory usage to monitor LinkedIn Intelligence MCP Server data layer efficiency.

Instructions

Get cache statistics and performance metrics.

Returns cache size, hit rate, and memory usage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions what metrics are returned (cache size, hit rate, memory usage) but doesn't disclose behavioral traits like whether it's read-only, requires permissions, has rate limits, or how data is formatted. This is inadequate for a tool with zero annotation coverage.

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?

The description is brief and front-loaded, with two sentences that directly state the purpose and return values without unnecessary elaboration. It could be slightly more structured but is efficient overall.

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

Completeness3/5

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

Given the tool has an output schema and no parameters, the description covers the basic purpose and return metrics adequately. However, with no annotations and a read operation implied, it lacks details on permissions, data freshness, or error handling, making it minimally viable but incomplete.

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?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the inputs. The description doesn't need to add parameter details, and it appropriately avoids redundancy, earning a baseline score above 3 due to the lack of parameters.

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's purpose with the verb 'Get' and resource 'cache statistics and performance metrics', making it specific and actionable. However, it doesn't explicitly differentiate from sibling tools, though none appear to be direct alternatives for cache statistics.

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. The description lacks context about prerequisites, timing, or comparisons with other tools, leaving usage unclear beyond the basic purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/southleft/linkedin-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server