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bhaktatejas922

unipile-linkedin-mcp

get_inmail_credits

Check your remaining InMail credits for messaging non-connections. View current balance and quota based on your subscription tier.

Instructions

Check remaining InMail credits for the connected LinkedIn account.

InMail credits are used when messaging non-connections. Premium users get a monthly allocation that varies by subscription tier.

Returns: Current InMail credit balance and any additional quota info

Input 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 must disclose behavioral traits. It states the tool 'checks' and 'returns' data, but does not explicitly state that it is read-only, safe, or mention any authentication or rate limit considerations. It lacks behavioral context beyond the basic operation.

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 five sentences and includes necessary background information. It is fairly concise and every sentence adds value, though it could be slightly more streamlined by integrating the background into the main statement.

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

Completeness5/5

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

Given the tool has no parameters and no output schema, the description is complete. It explains the purpose, provides context about InMail credits, and describes the return value. There are no gaps in information.

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 zero parameters and schema coverage is 100%. The description does not need to add parameter meaning because there are none. According to the rubric, baseline for 0 parameters is 4.

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 uses a specific verb ('Check') and clearly identifies the resource ('InMail credits for the connected LinkedIn account'). It distinguishes itself from sibling tools like 'send_inmail' and 'send_invitation' by focusing solely on credit checking.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides background on when InMail credits are used and that premium users have variations, but it does not explicitly state when to use this tool versus alternatives or provide any usage exclusions. The guidance is implicit rather than direct.

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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