Skip to main content
Glama
Sign In
Optimist MCP Server

Optimist MCP Server

by Atomic-Germ
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

optimize_hot_paths

Analyze a file or directory to identify and optimize frequently executed code paths, optionally using profiling data to target performance bottlenecks.

Instructions

Analyze and optimize frequently executed code paths

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "optimize_hot_paths"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYesDirectory or file path to analyze
profilingDataNoPath to profiling data (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It does not state whether 'optimize' means modifying source code, generating suggestions, or requiring user confirmation, and it does not explain what happens when profilingData is omitted.

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 efficient sentence with no filler or repetition. It is concise and front-loaded, though it lacks any structural separation between purpose and usage guidance.

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?

With no output schema and no annotations, the description leaves critical context unclear: whether the tool returns analysis results, applies optimizations automatically, or requires profiling data. For a tool whose name and description imply it may modify code, this is a significant gap.

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%, so the schema already documents both parameters adequately. The description adds little parameter-specific meaning, but because the schema handles it, a baseline 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 states a specific verb ('Analyze and optimize') and a specific resource ('frequently executed code paths'), making the tool's target clear. However, it does not strongly differentiate from siblings like analyze_performance or optimize_memory, since both actions overlap with the names of those tools.

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 is given about when to use this tool versus alternatives such as analyze_performance or optimize_memory. The phrase 'hot paths' implies a performance-focused context, but there are no explicit conditions, prerequisites, or exclusions to help an agent choose correctly.

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

Deploy Server

Other Tools