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register_implementation

Register a new implementation for an algorithm by specifying language, code, and entry function, making it available for benchmarking and performance analysis.

Instructions

Register an implementation of an algorithm

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesImplementation code
nameYesImplementation name
languageYesProgramming language
algorithmIdYesAlgorithm ID
descriptionNoImplementation description
entryFunctionYesEntry function name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.5

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are present, so the description must carry the behavioral burden. 'Register' implies a persistent or mutating action, but the description does not disclose whether existing implementations are overwritten, whether the algorithm ID must already exist, whether validation is performed, or what the tool returns.

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, front-loaded sentence with no redundant wording. It earns conciseness, but it is so brief that it leaves important context unstated; conciseness is good without sacrificing necessary information.

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?

For a six-parameter registration tool with no annotations and no output schema, the description is too sparse: it omits side effects, prerequisites, relation to register_algorithm, and expected return value. The schema's field descriptions help parameter-level understanding but do not fill the missing operational context.

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?

The input schema already describes all six parameters at 100% coverage, so the description does not need to repeat their meaning. It also does not add clarifying context such as how algorithmId, code, and entryFunction relate, but the baseline of 3 is appropriate because the schema carries parameter documentation.

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 identifies a specific action ('Register') and resource ('implementation of an algorithm'), which is more informative than the bare tool name and distinguishes it from register_algorithm and register_test_case. However, it does not explain what 'register' means operationally, so it stops short of a fully specific definition.

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 guidance on when to use this tool versus alternatives such as register_algorithm or run_benchmark, and no mention of prerequisites like the referenced algorithm already existing. The description states only what the tool does, never when or when not to invoke it.

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