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carsonlabs

LeadEnrich MCP Server

Official
by carsonlabs

check_usage

Check your current API usage and remaining quota to manage lead enrichment requests effectively.

Instructions

Check your current usage and remaining quota.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoYour LeadEnrich API key. Uses server default if not provided.

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 of behavioral disclosure. It only states it 'checks' usage, implying a read-only operation, but it does not explicitly confirm that, nor does it mention any side effects, authentication requirements, or rate limits.

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

Conciseness5/5

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

The description is a single short sentence that conveys the essential purpose. It is front-loaded and has no unnecessary words.

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?

Despite low complexity (1 optional param, output schema exists), the description lacks completeness. It does not mention that an API key might be needed, that no quota is consumed, or what the output format is. Given no annotations, more context would be helpful.

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?

The input schema has 100% coverage for its single parameter with a detailed description. The tool description adds no additional meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 states the tool's purpose: checking usage and quota. It uses a specific verb ('Check') and resource ('usage and remaining quota'), and it clearly distinguishes from sibling tools like 'enrich_*' and 'health_check' which serve different functions.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention when not to use it. It simply states what the tool does without any contextual usage advice.

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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