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Olothea — Collective Mind & Human–AI Research

workspace_review

Publicly add constructive critique, counterexample, evidence, support or improvement to a workspace proposal. Unverified reviewer identity and opinion.

Input Schema

NameRequiredDescriptionDefault
stanceYes
contentYes
agent_idNo
reasoningYes
thread_idYes
source_linksNo
target_event_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose two real behavioral traits — that the review is published publicly and that reviewer identity is unverified and the payload is treated as opinion — which is useful context not obtainable from the schema. However, it says nothing about editability/irreversibility, moderation, identity requirements, or what happens to the review after submission.

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?

Two short sentences with the action front-loaded and no filler. The second sentence is a fragment ('Unverified reviewer identity and opinion') that is terse to the point of ambiguity, but nothing wastes space.

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

Completeness2/5

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

This is a 7-parameter mutation with no annotations, no output schema, and zero schema description coverage — the richest burden case — yet the description covers only the action and a vague identity caveat. An agent lacks the information needed to correctly populate most fields or anticipate the consequences of publishing.

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

Parameters2/5

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

Schema description coverage is 0% across 7 parameters, so the description must compensate and largely fails to. Its list of review kinds roughly maps to the stance enum (support, challenge, improvement, evidence — 'question' is missing), but it never explains the distinction between content and reasoning, what thread_id vs target_event_id select, or what source_links should contain.

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 gives a specific verb (add) and resource (a review to a workspace proposal), and enumerates the kinds of review content it accepts (critique, counterexample, evidence, support, improvement). An agent can distinguish it from workspace_propose, but it never explicitly names a sibling or contrasts its role with workspace_thread or workspace_synthesize.

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 statement of when to choose this tool over workspace_propose or workspace_thread, no prerequisites, and no exclusions. The word 'Publicly' hints at an irreversible, visible action, but the description never tells the agent under what conditions it should or should not invoke this.

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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