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dnanatihor

Epistemic Envelope

by dnanatihor

get_asset_profile

get_asset_profile
Read-only

Retrieve profiling observations for an asset by ID, returning structured findings and policy-permitted inferences kept in clearly separated confidence layers.

Instructions

Return profiling observations, and inferences when policy allows them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_idYes

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

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds one genuine behavioral detail — that inferences are only returned 'when policy allows' — which tells the agent output may be conditional, but it does not explain what policy governs this or what the agent should do when inferences are withheld.

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?

A single sentence with no filler and the key behavior (conditional inferences) placed at the end. It is efficient, though its brevity borders on under-specification rather than tightness.

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

Completeness3/5

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

An output schema exists, so return-value structure need not be described, and the read-only nature is annotated. What is missing is the relationship to sibling tools and the meaning of the required asset_id, leaving the definition minimally viable for a one-parameter read tool.

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

Parameters2/5

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

Schema description coverage is 0% and the description says nothing about asset_id — its format, whether it accepts IDs from list_assets, or whether it accepts names. For a tool whose only parameter is an opaque identifier, this leaves the agent to infer usage from the sibling tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb ('Return') and a resource ('profiling observations, and inferences'), which is more than a restatement of the name. However, it does not clarify what an 'asset profile' is relative to sibling tools like describe_asset or get_quality, so an agent cannot confidently distinguish its scope from theirs.

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 or get_quality, both of which plausibly cover asset metadata. No prerequisites, no exclusions, no alternative named.

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