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socrata-mcp

socrata-mcp

by jcscocca
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

profile_dataset

Profile every column of a Socrata dataset: compute null rates, distinct counts, min/max for dates and numbers, and top 10 values for text columns, all server-side without downloading.

Instructions

Profile every column: null rate, distinct count, min/max, top values.

Computed portal-side via aggregate SoQL — the dataset is never downloaded. Dates and numbers get min/max (numbers also avg); low-cardinality text columns get their top 10 values with counts.

Args: domain: Portal hostname, e.g. "data.seattle.gov". dataset_id: Socrata 4x4 id, e.g. "tazs-3rd5".

Returns: {row_count, columns: [{field_name, type, null_rate, non_null_count, distinct_count, min?, max?, avg?, top_values?, error?}], notes}.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "domain": "<domain>",
      "dataset_id": "<dataset_id>"
    },
    "name": "profile_dataset"
  }
}

Input Schema

NameRequiredDescriptionDefault
domainYes
dataset_idYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description fully discloses behavioral traits: computation method (aggregate SoQL), which columns get min/max/avg, and that low-cardinality text gets top 10 values. It also describes return structure.

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 well-structured with separate paragraphs for purpose, notes, args, and returns, but it is slightly verbose. However, every sentence adds value.

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 tool has an output schema (not shown but noted), the description adequately details what is returned (row_count, columns array with field details). It covers key behaviors without gaps.

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

Parameters5/5

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

Schema coverage is 0%, so the description provides all parameter meaning. It clearly defines both parameters with examples (domain hostname and Socrata 4x4 id), adding context beyond the schema type and title.

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 explicitly states the tool profiles every column with null rate, distinct count, min/max, and top values, clearly distinguishing it from sibling tools like query or export_csv by noting it uses aggregate SoQL and never downloads the dataset.

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

Usage Guidelines3/5

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

The description implies usage for data profiling but does not explicitly state when to use versus alternatives or provide exclusions. It lacks guidance on prerequisites or when not to 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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