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dnanatihor

Epistemic Envelope

by dnanatihor

list_assets

list_assets
Read-only

Lists tables and columns in the seed catalog, helping catalog teams inspect available data assets and their schema.

Instructions

List tables and columns in the seed catalog.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
subjectYes
attributesNo
ai_inferencesNo
curated_metadataNo
envelope_versionYes
governance_noticeNo
certified_findingsNo
inference_permittedYes
profiling_observationsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

The readOnlyHint annotation already tells the agent this is a safe read with no destructive effect, lowering the disclosure bar. The description adds the scoping constraint that results come from the "seed catalog," but says nothing about pagination, rate limits, or breadth of the listing beyond that.

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?

A single front-loaded sentence with no waste; the resource and scope are stated immediately. Appropriate length for a no-argument list operation.

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?

With an output schema present, the description needn't explain return values, and with zero parameters there is little schema burden. The one real gap is the absence of guidance for selecting this tool over its siblings.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate. The baseline for a parameter-free tool applies.

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?

States a specific verb ("List") and resource ("tables and columns in the seed catalog"), so an agent knows exactly what it returns. It does not, however, distinguish itself from siblings like describe_asset or get_asset_profile, which also operate on catalog assets.

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?

There is no indication of when to use this tool versus describe_asset, get_asset_profile, or get_quality. The description offers no context, prerequisites, or exclusions to route the agent among the sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.