kaggle_audit_log

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable context: it is append-only, lists specific actions, mentions redaction, and notes inclusion of timestamps and budget. This goes beyond the annotations to detail what the tool exposes.

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

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

The description is two sentences, front-loading the core purpose and value. Every part adds meaning; no extraneous words. It is highly efficient.

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

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

Given the tool's low complexity (one optional parameter, output schema exists), the description covers the main purpose, returned fields, and unique value. It lacks explanation of the limit parameter but otherwise provides adequate context for an agent to decide when and how to use it.

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

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

The input schema has one parameter (limit) with 0% description coverage. The description does not mention limit or its effect—whether it controls number of entries returned. With no parameter explanation, the agent must guess from the name and default, which is insufficient for correct invocation.

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

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

The description clearly states that the tool returns an append-only ledger of mutating actions (submit/create/version/delete) with timestamps and submission budget, and explicitly distinguishes it from sibling tools by noting no other Kaggle MCP tracks tokens or budgets. The title 'Audit log of mutating actions' reinforces the purpose.

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

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

The description implies usage for inspecting safety machinery, stating 'Makes the safety machinery inspectable, which no other Kaggle MCP can offer.' This gives clear context, though it does not explicitly state when not to use or provide alternative tools for non-audit needs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.