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NerdSnipe-Inc

Lofty MCP Server

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listLeadAnalysis

Retrieve AI-generated lead analysis entries for a specific lead ID. Use these insights to evaluate lead quality and prioritize follow-ups.

Instructions

List AI lead analysis entries for a lead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadIdYesLead ID
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the basic operation without mentioning any side effects, pagination, sorting, rate limits, or read-only status. For a tool with no annotations, this is insufficient.

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 a single short sentence that efficiently conveys the core purpose without extraneous words. It is appropriately sized for a simple list operation.

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's simplicity (one required parameter, no output schema, no annotations), the description is minimally complete. It tells the agent what to do but lacks usage context or result structure hints, which may be acceptable for a straightforward list tool.

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?

Schema coverage is 100% with one parameter (leadId) described as 'Lead ID'. The description adds no new meaning beyond the schema. For a simple integer parameter, this meets the baseline.

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 verb ('list') and resource ('AI lead analysis entries') with scope ('for a lead'). It distinguishes from sibling tools like createLeadAnalysis (create) and getLead (get lead details), so the agent can identify it as a retrieval operation.

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 explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or exclusions. The agent is left to infer usage from the name alone.

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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