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Approve or reject a revision

koskamo_decide_revision
Destructive

Approve or reject a pending revision. Requires the dataset owner's API key or KNOWLEDGE_ADMIN_KEY. Approved text is chunked and becomes retrievable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional review note
decisionYes
revision_idYesRevision id returned by koskamo_propose_revision or koskamo_list_revisions

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, openWorldHint=true and idempotentHint=false, so the safety profile is covered; the description usefully adds the auth requirement and the downstream effect that approved text is chunked and becomes retrievable. It still omits what rejection does and whether the decision is reversible, so not 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.

Conciseness5/5

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

Three short sentences, front-loaded with the action, then the auth constraint, then the consequence. No padding or restatement of the title.

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?

With an output schema present, return values need not be explained, and the key gaps an agent needs -- permission requirement and side effect of approval -- are covered. The consequences of rejection remain unstated, which is a minor but real gap for a destructive operation.

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 description coverage is 67% and the decision enum plus revision_id provenance are already documented in the schema. The description adds no parameter-level meaning beyond what the schema provides, so the baseline 3 applies.

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

Purpose5/5

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

States a specific verb pair (approve/reject) and resource (pending revision), which cleanly distinguishes it from siblings like koskamo_propose_revision and koskamo_list_revisions. An agent can identify the operation without opening the schema.

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 a clear prerequisite (dataset owner's API key or KNOWLEDGE_ADMIN_KEY) and scopes the action to a pending revision, implying it is used after propose/list. It does not explicitly route the agent to or away from a specific sibling, so it falls short of a 5.

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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