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get_public_review_item_bytes

Read at most 32 KiB of one exact frozen public-review item, including a section or child item too large for a page. Follow next_action, match disclosure/version/section/parent/ordinal/item identity and digest across chunks, then verify SHA-256 of the assembled canonical JSON bytes before parsing. This is read-only and grants no publication or verification authority.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
ordinalYes
sectionYes
parent_idNo
disclosure_idYes
expected_payload_sha256No

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does substantial work: read-only, no publication/verification authority granted, a 32 KiB cap, a chunk-following protocol, cross-chunk identity/digest matching, and a mandatory SHA-256 verification step. It omits auth requirements and rate-limit behavior, keeping it short of a 5.

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?

Front-loads the core action ('Read at most 32 KiB...') and then layers the chunking and verification requirements efficiently. It is dense and jargon-heavy but every clause carries operational meaning.

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?

For a 7-parameter tool with no output schema and no annotations, the description supplies the missing context: what the bytes are (canonical JSON), how to assemble chunks, and how to validate them. It is close to complete for the calling workflow, with only parameter formats left unspecified.

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 0% across 7 parameters, so the schema provides no meanings. The description partially compensates by gesturing at the identity set (disclosure/version/section/parent/ordinal/item), the digest parameter, and the byte cap, but it never explains types, formats, or defaults concretely. Notably it references 'version' while no such parameter exists, adding ambiguity.

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 ('Read at most 32 KiB of one exact frozen public-review item') and clarifies the scope as byte-level access to a single item rather than a page. It implicitly distinguishes itself from the paginated siblings by noting it serves sections or child items too large for a page, though it never names an alternative tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context for when to reach for it: retrieving an exact frozen item, including content that won't fit in a page, with instructions to follow next_action for chunking. It stops short of explicitly naming the listing siblings it complements or stating when-not to use it.

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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