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Metadata

metadata
Read-onlyIdempotent

Get a Pennsylvania Open Data dataset's schema + metadata (columns, types, row count, category, last-updated) by resource_id, e.g. "mcba-yywm".

Input Schema

NameRequiredDescriptionDefault
resource_idYesDataset id, e.g. "mcba-yywm".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "resource_id": "mcba-yywm"
      +  }
      +]
  2. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already provide readOnly, idempotent, and destructive hints. Description adds no further behavioral context (e.g., rate limits, auth). Bar is lower due to annotations, but no additional value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence with example, front-loaded and no fluff.

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

Completeness5/5

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

Given one parameter and no output schema, description lists what the response contains (columns, types, row count, category, last-updated). Fully 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 coverage is 100% with description for resource_id. Description essentially repeats the schema info. Baseline 3 applies.

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?

Clear verb (Get), specific resource (dataset schema+metadata), and example resource_id. Distinguishes from sibling tools like 'datasets' and 'query'.

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?

Mentions using by resource_id with example, but no explicit when-to-use or alternative guidance. Usage is implied but not explicit.

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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