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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

hubspot_field_coverage

Check the percentage of recent HubSpot records with each specified property populated. Identify data completeness gaps across deals, contacts, or companies.

Instructions

% of recent records that have each property populated.

Args: object_type: "deals", "contacts", or "companies" (default: "deals") properties: Comma-separated properties to check sample_size: Recent records to sample (default: 200)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
propertiesNoamount,closedate,dealstage,primary_source
object_typeNodeals
sample_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description partially compensates by explaining it samples recent records and checks property coverage. It implies a read-only operation, but does not explicitly state side effects, auth requirements, or rate limits. Adequate for a simple query but could be more explicit.

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 concise with a clear summary line followed by an Args list. No extraneous information. Front-loaded with purpose.

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

Completeness4/5

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

Given an output schema exists, the description adequately covers input parameters and basic behavior. It does not discuss error scenarios or edge cases, but for a simple coverage tool it is sufficiently complete.

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?

Schema coverage is 0%, but the description adds meaning by defining each parameter with allowed values (object_type: deals/contacts/companies), format (comma-separated properties), and defaults. This compensates for the lack of schema descriptions.

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 tool computes the percentage of recent records with specified properties populated. It specifies object type and properties. However, it does not explicitly contrast with sibling tools like hubspot_property_distribution, which could be confused.

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 on when to use this tool versus alternatives. It only lists arguments without context about appropriate use cases or when other tools might be preferred.

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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