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Foliora Managed AI Search

Get one approved Foliora change

get_approved_change
Read-onlyIdempotent

Return an already-approved canonical hash and its ordered typed operations. Apply exactly these values; do not reinterpret or regenerate them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
changeSetIdYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostYes
briefYes
jobIdYes
titleYes
siteIdYes
rationaleYes
approvedAtYes
operationsYes
changeSetIdYes
canonicalHashYes

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The description adds valuable behavioral detail beyond annotations: it discloses that the returned hash is canonical and that operations are ordered, and it warns against reinterpretation. This is meaningful but lacks depth—it doesn't mention what happens if the change is not approved or any potential errors.

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?

The description is two sentences with no waste. The core function is stated first, and the critical behavioral instruction is front-loaded. It is efficiently structured for a tool with a single parameter and a self-explanatory name.

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's low complexity (one UUID parameter, clear name, and annotations covering safety), the description is nearly complete. The output schema exists, so return values are presumably structured elsewhere. The only real gap is the lack of parameter explanation, which is minor for a single self-descriptive parameter like changeSetId.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must explain the parameter, but it doesn't. The only parameter, changeSetId, is not mentioned at all in the description. An agent must infer from the name and format that it identifies the change set, but there is no explicit explanation of how to obtain it or its format beyond the schema's uuid format. This is a significant gap.

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?

The description clearly states the tool's purpose: returning an already-approved canonical hash and its ordered typed operations. The verb 'Return' plus the resource 'approved Foliora change' makes the intent clear. However, it doesn't explicitly distinguish this from sibling tools like get_product or get_snapshot beyond the 'approved' qualifier, and the lack of parameter explanation slightly limits full clarity.

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 instruction 'Apply exactly these values; do not reinterpret or regenerate them' implies a use case where exactness is critical, perhaps for deterministic application of an approved change. However, there is no explicit guidance on when to use this tool versus alternatives like get_snapshot or create_preview_link, nor any stated exclusions. The usage context is implied rather than 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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: product facts, site listing/brief, preview link/snapshot, approved changes, and publication reporting/verification. The only close pair, create_preview_link and get_snapshot, is cleanly separated by 'does not start a crawl' versus 'requires a token'.

Naming Consistency5/5

All tool names follow a consistent lower_snake_case verb_noun pattern: create_, get_, list_, report_, verify_. No mixed conventions or vague verbs appear, so an agent can infer the action and object from the name.

Tool Count5/5

9 tools is well within the ideal range and each tool earns its place: product orientation, site context, preview workflow, approved change retrieval, and publication verification. The surface feels scoped to the product's actual agent workflows rather than padded.

Completeness5/5

The tool set covers the full agent-relevant lifecycle: understand the product, list and inspect sites, create preview links and fetch snapshots, retrieve approved changes, report publication proof, and queue verification. Approval is explicitly an external/human step, so its absence is not a gap.

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