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SAMI-CODEAI

Competitive Programming Mentor MCP Server

by SAMI-CODEAI

dry_run

Trace code execution step-by-step against problem test cases to identify errors and verify logic.

Instructions

Perform a step-by-step trace execution of the code against test cases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe code to execute the dry run on.
problemYesThe full text of the problem description.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description must disclose behavior. It only states the action (trace execution) but does not clarify side effects, safety, output format, or whether it actually runs code. The term 'dry_run' implies non-destructive, but not explicit.

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?

The description is a single concise sentence with no filler. However, it could be slightly more informative without increasing length much, but overall it is well-structured.

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?

Despite having an output schema (not shown), the description fails to explain the relationship between test cases, code, and problem. For a trace execution tool, more context on expected output or behavior is needed.

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 coverage is 100% with clear descriptions for both parameters. The description adds no extra parameter-level detail beyond the schema, so baseline of 3 is appropriate.

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 clearly states the verb 'perform' and the resource 'step-by-step trace execution', but it mentions 'against test cases' without explaining how test cases are provided (not in schema). This causes slight ambiguity but overall purpose is understandable.

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?

No guidance on when to use this tool versus siblings like find_bug, stress_testing, or generate_testcases. The description does not specify prerequisites or alternatives.

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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