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replace_range

Replace specific character ranges in text by providing exact start and end positions with new content for precise string manipulation.

Instructions

Replace characters in range [start, end) with new text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
startYes
endYes
replacementYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The main handler function for the 'replace_range' tool. It performs string replacement in the specified range [start, end) using Python slicing. The @mcp.tool() decorator registers it with the MCP server and the Annotated types provide input schema validation.
    @mcp.tool()
    def replace_range(
        text: Annotated[str, "Original text"],
        start: Annotated[int, "Starting index (inclusive)"],
        end: Annotated[int, "Ending index (exclusive)"],
        replacement: Annotated[str, "Text to replace with"]
    ) -> str:
        """Replace characters in range [start, end) with new text."""
        return text[:start] + replacement + text[end:]
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Replace characters') but lacks details on permissions, error handling, or output behavior. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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?

The description is a single, efficient sentence with zero waste, front-loading the core action and parameters. It's appropriately sized for the tool's complexity, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (4 parameters, mutation operation) and the presence of an output schema, the description is minimally adequate but incomplete. It lacks behavioral details and usage context, though the output schema may cover return values, preventing a lower score.

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 0%, so the description must compensate, but it only implies parameters ('range [start, end) with new text') without explaining their meanings or constraints. It adds minimal value beyond the schema's property names, resulting in a baseline score due to inadequate compensation for the coverage gap.

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 action ('Replace characters') and the resource ('in range [start, end) with new text'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'delete_range' or 'insert_at_index', which also modify text at specific positions, so it misses full sibling differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention scenarios where replacement is preferred over deletion or insertion, nor does it reference sibling tools, leaving the agent without context for selection among similar text manipulation tools.

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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