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aleostudio

aleostudio MCP Server

by aleostudio

process_text

Process text with operations like word counting, case conversion, reversal, and data extraction to analyze or transform textual content.

Instructions

Handle text with various operations.

Args:
    text: text to handle
    operation: action to perform (word_count, char_count, reverse, uppercase, lowercase, title_case, extract_emails, extract_urls, summarize_stats)
    options: additional options for specific operations

Returns:
    Operation result

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
operationYes
optionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'various operations' and lists them in the Args section, but doesn't disclose behavioral traits like whether operations are read-only or mutating, performance characteristics, error handling, or rate limits. The description is minimal and lacks important behavioral context for a tool with multiple operations.

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 appropriately sized and well-structured with clear sections (Args, Returns). The first sentence is front-loaded with the main purpose. However, the 'Args' section could be more integrated with the description rather than appearing as separate documentation, and the 'Handle text with various operations' opening is somewhat generic.

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 3 parameters with 0% schema description coverage but an output schema exists, the description provides adequate parameter information but lacks behavioral context. The existence of an output schema means return values don't need explanation, but for a tool with multiple operations and no annotations, more guidance about operation selection and behavioral characteristics would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides significant parameter semantics beyond the schema. While schema description coverage is 0%, the Args section explicitly lists all 9 possible operations for the 'operation' parameter and explains the purpose of 'text' and 'options' parameters. This compensates well for the lack of schema descriptions, though it doesn't detail what 'options' might contain for specific operations.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Handle text with various operations' which provides a general purpose but is vague about what specific operations are available. It mentions 'text' as the resource but doesn't clearly distinguish this tool from potential siblings like 'calculate' or 'convert_data' that might also handle text. The verb 'handle' is generic rather than specific.

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 provided about when to use this tool versus alternatives. The description doesn't mention any prerequisites, constraints, or comparison with sibling tools like 'calculate' or 'convert_data'. There's no indication of when specific operations should be chosen or what context makes this tool appropriate.

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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