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mp-juns

universal-research-mcp

by mp-juns

governance_prepare_codex_critical_batch

Prepare an isolated batch of research packets for fixed four-reviewer critical assessment, enabling structured governance and auditable review.

Instructions

Prepare the isolated fixed four-reviewer critical batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packetsYes
governor_receiptNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only mentions 'prepare' and batch characteristics, but does not state whether this mutates state, requires permissions, has side effects, or what 'isolated fixed four-reviewer' concretely means. This is a significant transparency gap for a tool that appears to perform a preparation action.

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

Conciseness2/5

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

The description is a single short sentence, but it is under-specified rather than efficiently informative. It lacks the front-loaded useful details that would make it concise in a valuable way.

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

Completeness1/5

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

The tool has no annotations, 0% parameter description coverage, and a terse description. Even though an output schema exists, the input semantics, behavioral effect, and intended usage context are almost entirely absent, making the description inadequate for reliable invocation.

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 compensate for the unexplained parameters. It does not mention 'packets' or 'governor_receipt' at all, leaving the required and optional parameters completely undefined beyond their names and types.

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 names a specific resource ('the isolated fixed four-reviewer critical batch') and uses the verb 'prepare,' which distinguishes it from sibling tools like governance_prepare_codex_dispatch and governance_preflight_parallel_batch. However, 'prepare' remains somewhat generic and does not clarify what preparation entails, so it falls 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 Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. Sibling tools such as governance_prepare_codex_dispatch and governance_preflight_parallel_batch suggest related workflows, but the description provides no context, prerequisites, or exclusions.

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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