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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

hubspot_property_distribution

Counts occurrences of each value for a specified property in recent HubSpot records (deals, contacts, or companies).

Instructions

Value counts for a property over recent records.

Args: object_type: "deals", "contacts", or "companies" property_name: Property to tally sample_size: Recent records to sample (default: 500)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_typeYes
sample_sizeNo
property_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It mentions sampling (sample_size) but does not state whether the tool is read-only, destructive, or any side effects. It also omits permission or rate limit information.

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 and front-loaded with the main action. The Args list is clean. One minor point: the title is null but the description compensates. No waste.

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 the presence of an output schema (not shown), the description does not need to detail return values. It covers the sampling mechanism and parameter roles. It could mention that object_type is limited to three values explicitly, but overall it is adequate.

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 description coverage is 0%, so the description must add meaning. It clarifies that object_type can be 'deals', 'contacts', or 'companies' and that sample_size defaults to 500. However, it does not explain property_name further, leaving room for ambiguity.

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 value counts for a property over recent records, using a specific verb 'tally' and resource 'property'. It lists the parameters but does not differentiate from sibling tools like hubspot_field_coverage, so it loses one point.

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 is provided on when to use this tool versus alternatives, or any prerequisites. The description only explains what it does, not the context of use.

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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