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structuredData_fetch

Read-onlyIdempotent

Read components, tokens or manifest registry datasets, including their available versions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetYesRegistry dataset to return.
versionNoRequest a specific date-stamped version (e.g., '2026-02-24'). Omit for latest. Applies to dataset mode only.
ifNoneMatchNoReturn matched=true without payload when the ETag matches.
listVersionsNoWhen true, return available version dates instead of payload.
includePayloadNoWhen false, omit payload even if no ETag match occurs.
includeInternalNoLive components dataset only: also list OODS Foundry's internal (non-business) objects, after the business objects. Without it they are left out and registry.hiddenInternal counts them; a dated export is served unchanged.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive behavior, so the safety profile is covered. The description adds little beyond restating 'Read' – it does not explain ETag matching, version pinning semantics, or the hiddenInternal behavior, all of which live only in the schema.

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 tight sentence with no filler. However, it front-loads 'Read' in a way that understates the listing capability, so brevity comes at the cost of precision.

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

Completeness2/5

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

For a 6-parameter tool with enum branching, ETag mechanics, and a live-vs-export distinction, the description is far too thin. Though annotations cover safety and the schema covers parameters, the description fails to orient the agent on the versioning/list-versions model that defines this tool's use.

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% and each parameter has its own description, so the schema does the heavy lifting. The tool description adds nothing about parameters like ifNoneMatch, listVersions, or includePayload, leaving the baseline score appropriate.

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?

States a verb and resources ('Read components, tokens or manifest registry datasets') but is vague on scope and does not distinguish from siblings like catalog_list or registry_snapshot, which an agent might reasonably confuse. The mention of 'including their available versions' hints at listing but is muddled.

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 when-to-use guidance, no mention of alternatives, no indication of when to pick fetch vs catalog_list or registry_snapshot. The one-phrase description leaves selection entirely to the agent's guesswork.

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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