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data_json_canonical

Read-only

Serialize JSON with sorted object keys for deterministic comparison; not RFC 8785 certification. FREE during validation. No key, credits or wallet. Existing source and input limits apply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
requestIdNoOptional legacy field; ignored in free mode.
maxPriceMicroUsdNoOptional legacy field; ignored in free mode.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
profileYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • changedInput schema / properties / maxPriceMicroUsd / description
      Previous value: -"Explicit maximum new debit; 0 means recovery only."New value: +"Optional legacy field; ignored in free mode."
    • removedInput schema / properties / maxPriceMicroUsd / maximum
      Removed value: -999999999999
    • changedInput schema / properties / requestId / description
      Previous value: -"Persist the ID returned by agent_utilities_prepare. Reuse after uncertainty."New value: +"Optional legacy field; ignored in free mode."
    • removedInput schema / properties / requestId / pattern
      Removed value: -"^\\d{13}_[A-Za-z0-9_-]{16,80}$"
    • changedInput schema / required
      Previous value: -[
      -  "input",
      -  "requestId",
      -  "maxPriceMicroUsd"
      -]New value: +[
      +  "input"
      +]
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive, non-open-world), so the description earns credit for adding context they don't: 'FREE during validation. No key, credits or wallet' discloses pricing/payment behavior, and 'Existing source and input limits apply' flags limits. These are genuinely beyond what the structured annotations convey.

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

Conciseness3/5

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

Reasonably short and the core purpose is front-loaded, but the trailing fragments ('FREE during validation. No key, credits or wallet. Existing source and input limits apply.') are choppy and partly redundant with each other, diluting structure.

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?

An output schema exists, so return values needn't be explained. For a canonicalization tool the description conveys the key facts an agent needs: deterministic key ordering, non-certification scope, free mode, and applied limits. The nested input structure is left entirely to the schema.

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 67%, so the schema already documents most parameters. The description's 'FREE' and 'No key, credits or wallet' implies the cost/legacy params are inert in free mode, but it adds no format or structural detail for the input.data payload beyond the schema.

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 and resource: serialize JSON with sorted object keys for deterministic comparison. The purpose is clear and the 'not RFC 8785 certification' clause bounds it. It doesn't explicitly name a sibling to route against (e.g. data_json_diff), so it stops short of a 5.

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 phrase 'for deterministic comparison' implies when to use it, but there is no explicit when-not guidance or named alternative such as data_json_diff or data_json_patch. Usage context is present but left to inference.

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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