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Export Lead Form Applicants CSV

export_lead_form_applicants_csv
Read-only

Export lead form applicants as CSV text for a lead form managed by the authenticated Nas.com user. Before offering this action or requesting its inputs, check business permissions. FREE businesses cannot use this tool, regardless of individual feature rows. Call check_business_tool_access before collecting inputs. Show any grace-period warning and verified resubscribe link before continuing, and never proceed when access is blocked.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formIdYes
searchNo
filtersNo
communityIdYes

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds that the tool exports CSV text and imposes an access restriction (FREE businesses blocked), which provides additional behavioral context beyond annotations.

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 reasonably concise, starting with the core purpose and then listing crucial usage instructions. No superfluous content, though the instructions could be structured as a separate list for clarity.

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?

The description covers output format (CSV text) and access restrictions, but does not specify CSV structure (columns, delimiter) or handling details. With 4 parameters and no output schema, the information is adequate but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage and the tool has 4 parameters. The description does not explain any parameter in detail, leaving the agent to infer from names. Minimal compensation for the lack of schema descriptions.

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 exports lead form applicants as CSV text, specifying the exact resource and output format. It distinguishes from siblings like list_lead_form_applicants by emphasizing CSV export.

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

Usage Guidelines4/5

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

The description provides explicit instructions to check business permissions, note that FREE businesses cannot use it, call check_business_tool_access first, and show warnings. It lacks comparison with alternatives but covers prerequisites thoroughly.

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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TDQS

B3/5.0
Disambiguation2/5

Many tools are semantically identical, distinguished only by 'business' vs 'community' prefixes, and descriptions explicitly state they are interchangeable. This creates ambiguity for agent selection. Examples include add_business_admins/add_community_admins and get_business/get_community.

Naming Consistency3/5

Tools generally follow a verb_noun pattern, but the inconsistent use of 'business' vs 'community' for the same entities breaks the pattern. While individual naming is clear, the overall set lacks uniformity.

Tool Count1/5

With 423 tools, the server is massively over-scoped. The high count is driven by redundant 'business' and 'community' variants and many niche operations. A more focused surface would be far more manageable.

Completeness4/5

The tool set covers a broad range of features including CRUD operations for multiple product types, analytics, payments, messaging, and integrations. Minor gaps exist (e.g., missing update for some entity types), but overall domain coverage is strong.

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