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Mind Upload

review_work

Idempotent

Ask the owner's consciousness to scrutinize functional results and personal fit.

Input Schema

NameRequiredDescriptionDefault
workYes
phaseNocompletion
task_idYes
clone_idNoOnly when the owner approved several consciousnesses: the clone_id the owner chose.
evidenceYes
review_idYes
user_requestYes
media_evidenceNo

Output Schema

NameRequiredDescriptionDefault
reviewNo
statusYes
decisionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.7/5.0
Behavior2/5

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

Annotations declare this is not read-only, is open-world, idempotent, and non-destructive, but the description adds no behavioral context on top of that — nothing about side effects, whether a review is recorded or dispatched externally, latency, or what happens on repeated calls with the same review_id. It does not contradict the annotations, but for an open-world mutation tool it carries almost none of its own weight.

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?

It is a single sentence with no wasted words, so it is structurally tight and front-loaded. However, the brevity comes from omission rather than economy — the sentence is cryptic rather than compressed, so conciseness does not translate into usability here.

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?

With 8 parameters, 5 of them required, an open-world non-read-only profile, and a clone-selection concept, this is a complex tool that the one-line description does not begin to cover. Even though an output schema exists, the agent still lacks the input semantics and invocation context needed to call it correctly.

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 only 13% (just clone_id), and the description supplies no parameter meaning at all — required fields like user_request, work, evidence, task_id, and review_id are never mentioned or disambiguated. An agent cannot tell from the description how 'work' differs from 'evidence', what media_evidence is for, or how review_id relates to task_id.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The phrase 'Ask the owner's consciousness to scrutinize functional results and personal fit' gestures at a review action but never states concretely what the tool returns or does — no mention of producing a review verdict, score, or report. It also gives no hint of how it differs from the sibling 'consult_mind', which appears to invoke the same owner consciousness.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no when-not-to-use, and no mention of the sibling tools as alternatives. The 'phase' parameter (plan/progress/completion) strongly implies distinct invocation contexts that the description never explains, leaving the agent to guess when a review should be requested.

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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