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horizonbymuneeb

linkedin-mcp-pro

set_safety_config

Update safety configuration for LinkedIn automation to prevent account bans. Set parameters such as enabled, whitelist, blacklist, cooldowns, and daily action limits.

Instructions

Update safety config. Pass any subset of: enabled, dry_run, tz, whitelist, blacklist, business_hours_start, business_hours_end, cooldown_min, cooldown_max, like_daily, comment_daily, connect_daily, feed_watch_daily, account_age_days, warmup_days, warmup_multiplier, like_hourly, comment_hourly, connect_hourly, negative_response_threshold, shadowban_pause_hours. Lists (whitelist/blacklist) are replaced entirely.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The description notes that 'Lists (whitelist/blacklist) are replaced entirely', providing some behavioral insight. However, no annotations exist, and the description does not disclose side effects, authorization requirements, or whether updates are incremental for other fields. Basic transparency is present but incomplete.

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 one sentence with a list, front-loading the action 'Update safety config'. It is efficient with no wasted words, though the list could be better grouped for readability.

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 no output schema and no annotations, the description does not mention return values, preconditions, or consequences of updates. It is minimal but covers the basic action and parameters, leaving gaps for an AI agent to infer.

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 input schema is empty with additionalProperties: true, so the description carries the full burden of parameter meaning. It lists many parameter names, which adds value beyond the schema, but does not explain each parameter's type or function. High schema coverage is stated, but the description still lacks detailed semantics.

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 'Update safety config' with a specific verb and resource, but does not explicitly distinguish this tool from siblings like 'clear_safety_pause' or 'get_safety_status'. However, no sibling directly overlaps, so it is sufficiently clear.

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 merely lists parameters without explaining use cases or when to prefer this over other tools.

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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