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General
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This document provides guidance on creating comprehensive evaluations for MCP servers. Evaluations test whether LLMs can effectively use your MCP server to answer realistic

complex questions using only the tools provided.

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General
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- **Security testing**: Validate auth

input sanitization

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- Provide helpful

specific error messages with suggested next steps

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**Important**: Annotations are hints

not security guarantees. Clients should not make security-critical decisions based solely on annotations.

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- Single-user

single-session scenarios

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**Best for**: Remote servers

web services

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- Simple setup

no network configuration needed

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**Best for**: Local integrations

command-line tools

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### Markdown Format (`response_format=markdown`

typically default)

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Data
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- **Return pagination metadata**: Include `has_more`

`next_offset`/`next_cursor`

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- Use headers

lists

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- Provide tool annotations (readOnlyHint

destructiveHint

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1. **Use snake_case**: `search_users`

`create_project`

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General
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The name should be general

descriptive of the service being integrated

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General
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- Examples: `slack-mcp-server`

`github-mcp-server`

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- Examples: `slack_mcp`

`github_mcp`

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- **stdio**: For local integrations

command-line tools

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- **Streamable HTTP**: For remote servers

multi-client scenarios

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- Return `has_more`

`next_offset`

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- Example: `slack_send_message`

`github_create_issue`

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General
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- **Node/TypeScript**: `{service}-mcp-server` (e.g.

`slack-mcp-server`)

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3. **Question Generation**: Create 10 complex

realistic questions

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- **Verifiable**: Single

clear answer that can be verified by string comparison

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To create effective evaluations

follow the process outlined in the evaluation guide:

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