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Review an algorithm with Kimi K3

review_algorithm
Read-only

Input algorithm details and requirements to receive a Kimi K3 second opinion on correctness, complexity, or specific concerns. Identify flaws and validate your design.

Instructions

Only when explicitly requested, ask Kimi K3 to challenge an algorithm.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNoOptional specific concern such as proof, complexity, numerical stability, or concurrency.
contextNoOptional surrounding architecture, data assumptions, or known tradeoffs.
algorithmYesAlgorithm description, pseudocode, or implementation to review. Include all relevant details.
requirementsYesRequired behavior, constraints, and correctness criteria.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the conditional trigger ('only when explicitly requested') but does not disclose further behavioral details such as external calls, latency, or result handling. This is acceptable given annotation coverage but not generous.

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?

A single sentence that front-loads the key constraint and action. There is no wasted text, and the essential usage condition is immediately visible.

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?

The description is brief, but the rich schema and annotations cover parameters and safety, and an output schema exists so return values are documented elsewhere. The main missing element is explicit connection to sibling tools, but the core trigger and action are sufficient for a simple review tool.

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 100%: all four parameters have meaningful descriptions in the schema (algorithm, requirements, focus, context). The tool description itself adds no parameter-specific semantics, so the schema carries the full burden and the baseline score of 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?

The description clearly states the specific action 'challenge' applied to 'an algorithm' and names the target 'Kimi K3'. This distinguishes it from sibling tools like review_code and plan_project, which target different resources.

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?

The phrase 'Only when explicitly requested' provides a clear condition for invocation, effectively excluding proactive use. However, it does not explicitly mention alternatives or contrast with sibling tools, so it stops 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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